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Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Today's increasingly complex energy systems require innovative approaches to integrate and optimize different energy sources and technologies. In this paper, we explore the system of systems (SoS) approach, which provides a comprehensive framework for improving energy systems' interoperability, efficiency, and resilience. By examining recent advances in various sectors, including photovoltaic systems, electric vehicles, energy storage, renewable energy, smart cities, and rural communities, this study highlights the essential role of SoSs in addressing the challenges of the energy transition. The principal areas of interest include the integration of advanced control algorithms and machine learning techniques and the development of robust communication networks to manage interactions between interconnected subsystems. This study also identifies significant challenges associated with large-scale SoS implementation, such as real-time data processing, decision-making complexity, and the need for harmonized regulatory frameworks. This study outlines future directions for improving the intelligence and autonomy of energy subsystems, which are essential for achieving a sustainable, resilient, and adaptive energy infrastructure. [ABSTRACT FROM AUTHOR]

With the complex changes in social and demographic structure, the problem of aging is becoming increasingly serious, and the demand for equipment in the field of medical rehabilitation is also increasing. Given the above situation, various countries have proposed using rehabilitation robots to assist patients in treatment, and have achieved certain results. The rehabilitation robot helps the injured area gradually recover autonomous movement through repeated auxiliary actions, thereby achieving the goal of physical rehabilitation training. However, most robot configurations face insufficient energy and power, as well as bulky and inflexible equipment. Based on the above issues, this article adopts an improved fuzzy algorithm control strategy to optimize the energy storage device and applies the energy system to the wrist rehabilitation training robot device. Firstly, a fuzzy adaptive algorithm is added to the traditional energy controller to combine system control with operational status, achieving precise control and dynamic adjustment of energy allocation. The research has added filter optimization design, which improves the accuracy and effectiveness of fuzzy algorithms. Finally, this article establishes an upper limb motion model of the rehabilitation robot and configures relevant hardware systems. At the same time, this article also uses manufacturing materials that meet functional requirements to construct auxiliary equipment. The results indicate that the improved fuzzy algorithm can improve the auxiliary effect in energy control of wrist rehabilitation robots. It has obvious advantages in the process of wrist rehabilitation training.

Renewable energy systems, such as photovoltaic (PV) systems, have become increasingly significant in response to the pressing concerns of climate change and the imperative to mitigate carbon emissions. When static converters are used in solar power systems, they change the current, which uses reactive energy. A proportional-integral controller regulates active and reactive powers, whereas energy storage batteries enhance energy quality by storing current and voltage as they directly affect steady-state error. The utilization of artificial intelligence (AI) is crucial for improving the energy generation of PV systems under various climatic circumstances, as conventional controllers do not effectively optimize the energy output of solar systems. Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions. This study presents a novel approach for integrating solar PV systems with high input performance through adaptive neuro-fuzzy inference systems (ANFIS). A fuzzy neural inference-based controller regarding energy generation and consumption aspects was designed and examined. This study examines the importance of artificial intelligence in facilitating continuous power supply to clients using a battery system, hence emphasizing its significance in energy management. Moreover, the findings demonstrated promising outcomes in energy regulation and management.

Phase change materials (PCMs) have garnered significant attention in the realm of smart buildings due to their transformative impact on building structures and energy efficiency. In the context of smart buildings, incorporating PCMs into construction elements, such as walls or ceilings, enables them to act as thermal energy storage units. This dynamic thermal behavior helps regulate indoor temperatures by absorbing excess heat during warmer periods and releasing it when the environment cools. As a result, smart buildings equipped with PCM technologies exhibit enhanced energy efficiency, reduced reliance on traditional heating, ventilation, and air conditioning (HVAC) systems and a more sustainable overall operation. Using EnergyPlus numerical simulation and a novel hybrid multilevel particle swarm optimization and convolutional neural network (H-MPSO-CNN) model, the performance of PCM in walls and ceilings of Namangan, Uzbekistan and Najran, Saudi Arabia climates was investigated in this study. The study assessed the impact of variables such as melting temperature and optimal location of PCM on heating and cooling load consumption. The results showed that PCM with melting temperatures of 23°C and 25°C had the greatest impact in the Namangan climate, while PCM with a temperature of 25°C had the greatest impact in Najran. The study also determined the best location for PCM on walls and roofs. It was determined that such a system is better suited to Najran's hot and dry climate. Heating and cooling loads in Namangan can be reduced by 12.39 and 16.01%, respectively, by installing PCM systems in the building's roof and walls. Similarly, a single-layer PCM system in Najran can reduce heating and cooling energy consumption by 9.97 and 12.11%, respectively. The goal of this study was to reduce the number of hours when the building was not thermally comfortable and to optimize heating and cooling load consumption. [ABSTRACT FROM AUTHOR]

In this article, an Adaptive Hamiltonian-Based Energy Control (AHBEC) with a built-in integrator is introduced for the Proton-Exchange Membrane Fuel Cell (PEMFC) hybrid power-conversion system. The presented additional built-in integrator is based on the Lyapunov and Hamiltonian functions. Unlike previous works, the control strategy proposed in this article aims to regulate the output current of the PEMFC stack, i.e., to provide sufficient power support to the load, and the integrator is built into the control loop in order to eliminate the steady-state current error caused by external disturbances and model parameter uncertainties. The large-signal stability of the whole system is demonstrated by selecting a suitable Lyapunov-candidate function. An experimental setup is constructed in the laboratory to verify the proposed control strategy. The experimental results demonstrate the robustness and effectiveness of the designed energy-control approach. [ABSTRACT FROM AUTHOR]

This study addresses the challenge of speed control in permanent magnet synchronous motors (PMSMs), particularly in complex industrial applications. The research investigates the control of rotor speed in an electric-traction drive scenario. The setup involves an 8kW high-voltage battery powering a 35 kW PMSM through a controlled 3-phase (3-φ ) converter. Sensor feedback provides torque, currents, and voltage data, while a resolver captures speed and position information. The control strategy employs a two-loop algorithm. The outer loop uses a Proportional–integral to achieve zero steady-state error in this design (PI) controller for speed control, while two PI controllers are utilized to govern stator current in the Q and D directions. The input battery is very important in this design to achieve zero steady-state error. During a 0.2 s simulation, the rotor speed demand is incrementally raised from 0 to 1200 RPM. The proposed approach is implemented and verified using the Matlab2020a Simulink environment. The simulation results prove the efficacy of the proposed algorithm efficiently.

With the complex changes in social and demographic structure, the problem of aging is becoming increasingly serious, and the demand for equipment in the field of medical rehabilitation is also increasing. Given the above situation, various countries have proposed using rehabilitation robots to assist patients in treatment, and have achieved certain results. The rehabilitation robot helps the injured area gradually recover autonomous movement through repeated auxiliary actions, thereby achieving the goal of physical rehabilitation training. However, most robot configurations face insufficient energy and power, as well as bulky and inflexible equipment. Based on the above issues, this article adopts an improved fuzzy algorithm control strategy to optimize the energy storage device and applies the energy system to the wrist rehabilitation training robot device. Firstly, a fuzzy adaptive algorithm is added to the traditional energy controller to combine system control with operational status, achieving precise control and dynamic adjustment of energy allocation. The research has added filter optimization design, which improves the accuracy and effectiveness of fuzzy algorithms. Finally, this article establishes an upper limb motion model of the rehabilitation robot and configures relevant hardware systems. At the same time, this article also uses manufacturing materials that meet functional requirements to construct auxiliary equipment. The results indicate that the improved fuzzy algorithm can improve the auxiliary effect in energy control of wrist rehabilitation robots. It has obvious advantages in the process of wrist rehabilitation training. [ABSTRACT FROM AUTHOR]

Modular multilevel matrix converter is a type of converter used in medium-voltage ac-ac power conversion. Controlling the energy content of the converter arms is a prerequisite for a proper converter operation, and at the same time a challenging control task. So far, there are several approaches presented in the literature that successfully deal with the challenge. However, almost all of them fail when it comes to the simplicity of implementation, and ease of understanding by control engineers and researchers entering the field. This paper extends the direct arm energy control concept, already introduced for the class of modular multilevel converters, to the modular multilevel matrix converter. Presented control approach is characterized by an intuitive and simple implementation, ability to control the arm energies to arbitrary values, and stable operation under all operating conditions, including grid imbalances. Validity of the control concept was demonstrated using an in-house-developed hardware-in-the-loop simulator of the modular multilevel matrix converter, with control algorithms being deployed to the industrial-grade controller.

The structure of direct current (DC) appliances is simpler and more energy-efficient than that of alternating current (AC) appliances. With the proliferation of novel DC loads (e.g., e-bikes and electric vehicles), DC loads will dominate the loads in buildings. It is necessary to develop a DC power distribution method that better accommodates renewable energy, effectively improves the working efficiency of loads, and significantly enhances energy utilization efficiency. However, there is not yet a unified design for the multi-port converter of DC microgrids. The experience is severely lacking in the overall energy planning for buildings from the perspectives of economy and environmental friendliness. To solve the problems, this paper explores the intelligent decision optimization for energy control in DC power distribution system with multi-port access for intelligent buildings. Firstly, a feature analysis was carried out on the multi-port converter of the DC power distribution system for intelligent buildings. With economy and environmental friendliness as the goals, the authors designed constraints related to energy output power, power balance, and distribution node voltage, and established an intelligent decision optimization model for the energy control of the DC microgrid for intelligent buildings. The model was combined with the multi-attribute decision-making framework into a decision-making framework for the coordinated operation of distributed energy supply units, which is based on the interval evidential reasoning (IER). Finally, the authors proposed an evaluation method for the decision-making of the energy control of DC power distribution for intelligent buildings, based on the Maclaurin symmetric mean (MSM) operator, and the IER-based decision-making framework. The proposed method was proved effective through experiments.

Abstract Due to large energy consumption and equipped building control systems, the majority of campus buildings have the potential to increase energy efficiency and provide energy flexibility. Among the three main types of occupants in the campus buildings (researchers/teachers, students, administration/management), students spend most of their time on learning activities in the campus buildings, and the energy performance can influence their learning performance. Therefore, this paper conducts a questionnaire targeting student occupants at a large engineering faculty in a Danish university to investigate occupants’ experience of energy control, indoor comfort, and options of energy flexibility in campus buildings. In total, 267 fully completed and usable questionnaires were received. The dataset is available in.xlsx format, and the questionnaire that was used to collect the data is also provided together.

Nowadays, high-speed permanent magnet synchronous machines (HSPMSMs) are widely used in high-speed direct-drive applications. Moreover, modular multilevel converters (MMCs) have attracted a lot of attention. In this paper, the mathematical model of the MMC for the HSPMSM was built on high- and low-speed regions, respectively, and the control of each model is completely decoupled. Moreover, energy balance control schemes based on the common mode current injection of the MMC with HSPMSM drive applications have been proposed for high- and low-speed cases, respectively. Based on this model, the controller is proposed for high- and low-speed cases, respectively. Simulation and experiment results indicate that the proposed energy balance control method for an MMC in the high-speed PMSM drive application exhibits significant performance, which can ensure the energy balance of the MMC and eliminate the circulating current of the MMC directly. [ABSTRACT FROM AUTHOR]

With the digitalization of mechatronic systems in the conditions of a shortage of available bandwidth of digital communication channels, the problem of ensuring the transfer of information between various components of the system can arise. This problem can be especially challenging in the observation and control of spatially distributed objects due to the complexity of their dynamics, wide frequency band, and other factors. In such cases, a useful approach is to employ smart sensors, in which the measurement results are encoded for transmission over a digital communication channel. Specifically, the article is focused on the transmission of measurement data for the control of energy for a spatially-distributed sine-Gordon chain. The procedures for binary coding of measurements by first- and full-order coder-decoder pairs are proposed and numerically investigated, for each of which the use of stationary and adaptive coding procedures is studied. The procedures for estimating the state of the circuit when measuring outputs are studied, and for each of them, the accuracy of not only estimating the state but also controlling the system by output with the help of an observer is considered. The results of comparative modeling are presented, demonstrating the dependence of the accuracy of estimation and control on the data transfer rate. [ABSTRACT FROM AUTHOR]

This paper highlights the storage charging and discharging issue. The study objective is to manage the energy inputs and outputs of the principal grid at the same time in order to maximize profit while decreasing costs, as well as to ensure the availability of energy according to demand and the decisions to either save or search for energy. A fuzzy logic control model is applied in MATLAB Simulink to deal with the system's uncertainties in scheduling the storage battery technology and the charging- discharging. The results proved that the fuzzy logic model has the potential to efficiently lower fluctuations and prolong the lifecycle. [ABSTRACT FROM AUTHOR]

Copyright of Journal of South-Central Minzu University (Natural Science Edition) is the property of Journal of South-Central Minzu University (Natural Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The structure of direct current (DC) appliances is simpler and more energy-efficient than that of alternating current (AC) appliances. With the proliferation of novel DC loads (e.g., e-bikes and electric vehicles), DC loads will dominate the loads in buildings. It is necessary to develop a DC power distribution method that better accommodates renewable energy, effectively improves the working efficiency of loads, and significantly enhances energy utilization efficiency. However, there is not yet a unified design for the multi-port converter of DC microgrids. The experience is severely lacking in the overall energy planning for buildings from the perspectives of economy and environmental friendliness. To solve the problems, this paper explores the intelligent decision optimization for energy control in DC power distribution system with multi-port access for intelligent buildings. Firstly, a feature analysis was carried out on the multi-port converter of the DC power distribution system for intelligent buildings. With economy and environmental friendliness as the goals, the authors designed constraints related to energy output power, power balance, and distribution node voltage, and established an intelligent decision optimization model for the energy control of the DC microgrid for intelligent buildings. The model was combined with the multi-attribute decision-making framework into a decision-making framework for the coordinated operation of distributed energy supply units, which is based on the interval evidential reasoning (IER). Finally, the authors proposed an evaluation method for the decision-making of the energy control of DC power distribution for intelligent buildings, based on the Maclaurin symmetric mean (MSM) operator, and the IER-based decision-making framework. The proposed method was proved effective through experiments. [ABSTRACT FROM AUTHOR]

Due to large energy consumption and equipped building control systems, the majority of campus buildings have the potential to increase energy efficiency and provide energy flexibility. Among the three main types of occupants in the campus buildings (researchers/teachers, students, administration/management), students spend most of their time on learning activities in the campus buildings, and the energy performance can influence their learning performance. Therefore, this paper conducts a questionnaire targeting student occupants at a large engineering faculty in a Danish university to investigate occupants' experience of energy control, indoor comfort, and options of energy flexibility in campus buildings. In total, 267 fully completed and usable questionnaires were received. The dataset is available in.xlsx format, and the questionnaire that was used to collect the data is also provided together. [ABSTRACT FROM AUTHOR]

Nowadays, the local distribution grids have been facing technical, economic, and regulatory challenges, because of the increased integration of renewable energy sources (RESs) and electrification of vehicles. The traditional solutions to the grid expansion, e.g., to build an additional power line, are utility-centered solutions, i.e., the distribution grid operators (DSOs) are the only party involved to tackle grid issues. The DSOs have to engage grid users with technology providers to develop innovative solutions that tackle one problem and overcome several cost-effectively. This paper presents a holistic solution to optimally control cross-sectoral energy flow between interconnected microgrids (MGs) consisting of different RESs, hydroelectric power plant (HPP) and wind turbines (WTs) to meet electric vehicles (EVs), residential, commercial and industrial demands with the main grid contribution. This issue will provide the advantages of community-based MGs for local energy trading which causes for an active and engaged system, however, an adequate control strategy for proper operation is required. The proposed solution is based on a new interconnection line between two MGs through a multiport converter (MPC) with the techno-economic consideration of newly installed components such as MPC, cables and the required battery energy storage system (BESS). The proposed case study is evaluated under three different conditions e.g., load increment, demand response (DR) and N-1 criterion in separate, interconnect and island modes. The CPLEX solver of GAMS software is employed to solve the mixed-integer linear programming model. The results show that the applied interconnection line for MGs compared to the separated operation mode can decrease the system's total costs, reduce the applied peak to the upstream grid, and enhance the system's reliability under different conditions. Furthermore, the applied solution provides the ability for MGs operation even in island mode under different conditions for a full day (24 h). • Minimizing OPEX and CAPEX costs under load variations, N-1 criterion, and DR. • Optimal BESS sizing for separate, interconnect and island conditions in MGs. • Optimal MV cables cross-section size for new interconnection line between MGs. • MPC Sizing for more functionality to Host EVs and BESS in interconnected MGs. [ABSTRACT FROM AUTHOR]

The modular multilevel converter (MMC) is considered a very promising candidate for medium-voltage and/or high-power grids. One of the major concerns in half-bridge MMCs, especially with large number of levels, is the fault occurs at the converter submodule (SM). Hence, an appropriate control with an SM fault tolerance of the MMC is required to enhance its reliability. This paper addresses the issue and proposes a fault tolerant control-based adaptive carrier phase disposition pulse width modulation (AC-PDPWM) technique for MMCs with superior symmetrical and asymmetrical fault-tolerant capabilities. The proposed control-based AC-PDPWM acts to regulate the flow of energy between arms, rebalance the SM capacitors, and redistribute the pulses to the SM switches. In this study, a single-phase grid connected MMC having both symmetrical and asymmetrical fault conditions is investigated. Compared with other control methods, the proposed control can tolerate the SM fault conditions without requiring redundant SMs or additional computational burden, which decreases the cost and volume of the MMC design and simplifies its control. Simulation and experimental results are included to verify the fault-tolerant capability of the proposed control.

A dual fuzzy control strategy is proposed for the complex energy management problem in a multi-energy-source hybrid power system vehicle with fuel cell + Li-ion battery + super capacitor. According to the efficiency characteristic of each energy source in a fuel cell hybrid power system (referred to as FCHPS), a control scheme with a dual fuzzy control strategy is devised, in which the main fuzzy controller controls the fuel cell to ensure its power output. It is controlled by a sub-fuzzy controller that regulates the power output and braking energy recovery of the Li-ion battery and super capacitor. Simulation verification and comparative analysis were carried out under a world light vehicle test cycle (referred to as WLTC) conditions using MATLAB+ADVISOR. With a dual fuzzy control strategy, fuel cell hybrid vehicles meet dynamics requirements and the fuel economy of these vehicles is generally 6.7% and 6.4% better than power following control and single fuzzy control, respectively. Li-ion batteries are also capable of handling reduced average currents. [ABSTRACT FROM AUTHOR]

The wireless sensor networks can reduce time and cost in automatic meter reading systems. This study proposes a cross-layer energy control strategy for an indoor environment, including a network layer and link layer. The network layer employs the S-EBACR (Section-Energy-balanced Adaptive Clustering Routing) algorithm to avoid the energy hole problem and improve the regional energy consumption balance. In the link layer, the new-link quality estimation method defines a d-parameter method and establishes an adaptive transmission power adjustment strategy considering the actual transmission intensity classification. The corresponding simulation energy consumption calculating algorithm and the d-parameter dynamic change model confirm the effectiveness of the d-parameter based adaptive transmission power adjustment. The proposed cross-layer energy control strategy utilizes the S-EBACR networking topology algorithm for the network layer and the adaptive control strategy of the d-parameter transmission signal strength for the link layer. Simulation in the real three-dimensional environment confirms the efficiency of this energy control strategy. [ABSTRACT FROM AUTHOR]

The number of vehicles is rapidly increasing. An effective control strategy for Hybrid Electric Vehicles (HEVs) is important. In this paper, we present a two-level control strategy that combines the Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS) and the Adaptive Dynamic Programming (ADP). At the lower level, the A-ECMS is used to convert the consumed charge into Equivalent Fuel Consumption (EFC) for every sample moment, and a PI controller is used to adjust the values of the equivalent factor of the A-ECMS. At the upper level, the ADP is used to find the minimum of EFC corresponding to equivalent factor for every sample moment, and it maintains the State of Charge (SOC) of battery to charge and discharge smoothly in a high-efficiency field for the HEV. As by the ADP, we look into the future and then we can have a better estimate for the equivalent factor than the ordinary A-ECMS. In this way, we can save energy as well as calculate instantaneous parameters for the control strategy. Compared with a typical rule-based control strategy, the proposed control method saves EFC up to 10.3% and the stability of the SOC is increased by more than 60%, tested on benchmarks. [ABSTRACT FROM AUTHOR]

In this study, the energy deposited at the welding interface was controlled by changing the stand-off between the flyer and base plates. Pure titanium (TP 270C) and duplex stainless steel (SUS 821L1) were welded under 5- and 15-mm stand-offs, respectively. When the stand-off was 5 mm, the average wavelength and average amplitude of the welding interface were 271 and 61 μm, respectively; at 15 mm stand-off, the average wavelength and average amplitude of the welding interface were 690 and 192 μm, respectively. The differences between the two welding conditions were compared using a tensile test, fracture analysis, a 90° bending test, Vickers hardness, and nanoindentation related to the mechanical properties of materials. The experimental results indicated that the sample with a 5-mm stand-off had better mechanical properties. [ABSTRACT FROM AUTHOR]

Historically, the Russo-Pak relationship had a foreign policy context and a legacy that went through the historic eras of pre-partition Great Game between the British Indian and Czarist Empires, and the post-partition Cold War between the former Union of Soviet Socialist Republics (USSR) and the United States of America (USA).Pakistan on its creation sided with the American led West through Southeast Asia Treaty Organization (SEATO) and Central Treaty Organization (CENTO) or Baghdad Pact, plus, the partnerships against the Soviet occupation of Afghanistan and in the War on Terror. The US military and financial aid and the support by the International and Asian financial institutions for Pakistan is decades old--albeit now with a friction over Afghanistan, Russia and China. Still, the transactional-cooperation remains over Afghanistan through the air-corridor that is useful for Americans in many ways. American influence, assets and the air-corridor is a deadly mix in Afghanistan. The Afghan Taliban know that the drones, jets and aircrafts using the corridor take-off from and land at Qatar without ever landing in Afghanistan. Moreover, intelligence sharing is part of Pak-US operational cooperation with a possibility of a military base too. The context of Pak-US cooperation is the centuries old British era Frontier Policy. It remained until the American strategic withdrawal from Afghanistan. The relationship since then has deteriorated and the perception of each other is not harmonious despite the tactical cooperation in Afghanistan. The reason is the strategic choices made by Pakistan and America lacking congruence over China, Russia, Afghanistan and India. The interactive-arm-twisting of Pakistan is an indicator. The rest is the detail of Pakistan's New Frontier Policy. [ABSTRACT FROM AUTHOR]

We conducted a systematic review and meta-analysis of randomized clinical trials and pilot trial studies to compare the effectiveness of intermittent fasting (IF) and continuous calorie restriction (CCR) in overweight and obese people. The parameters included body mass index (BMI), body weight, and other metabolism-related indicators. A systematic search in PubMed, Embase, Cochrane Library, and Web of Science was conducted up to January 2022. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were used to measure the effectiveness. Publication bias was assessed using Egger's test. The stability of the results was evaluated using sensitivity analyses. The significance of body weight change (SMD = −0.21, 95% CI (−0.40, −0.02) p = 0.028) was more significant after IF than CCR. There was no significant difference in BMI (SMD = 0.02, 95% CI (−0.16, 0.20) p = 0.848) between IF and CCR. These findings suggest that IF may be superior to CCR for weight loss in some respects. [ABSTRACT FROM AUTHOR]

In this paper, a control law to stabilize the energy for the swing-up and giant-swing motions of a two-link gymnastic robot (Acrobot) to a desired value by periodically changing the second link is proposed. First, the swing-up motion of an Acrobot around the lower equilibrium point and the giant-swing motion rotating continuously around the rotation axis are analyzed. The analysis is conducted using the averaging method when the second link of the Acrobot is moved periodically, and the averaged equations for both motions are derived. Next, the energy equations are derived by using the averaged equations, and an energy control law can be controlled from the swing-up motion to the giant-swing motion is designed. The derived nonlinear feedback control law modulates the amplitude of the periodic input according to the deviation from the desired energy. Our control method can control both the swing-up and giant-swing motions with a single controller. Finally, using the proposed control method, it is shown that the energy of the real Acrobot can be controlled to the desired values. [ABSTRACT FROM AUTHOR]

This work deals with controlling the solar radiation reception rate (SRRR) (ratio of the incident solar radiation on tilted panel to the global incident solar radiation). Controlling the SRRR will permit the amount of the received solar energy on solar panels to be adjusted. This SRRR control is very useful for several technological applications such as solar thermal and photovoltaic technologies in extremely sunny regions around the world, such as the case of Makkah, Saudi Arabia. Thus, the sustainability of the cities and villages, located in such regions, is promoted. A novel design proposing a poly-tilted segmented panel (PTSP) is proposed as an original techno-logical solution enabling the control of the SRRR. Design technical details are clearly explained. The proposed design presents a cheap, simple and effective alternative to conventional sun tracking systems. The SRRR on the proposed PTSP is mathematically modeled. The influence of the combinations "number of segment/tilt angles" on the SRRR is assessed for the most significant days in the year: equinox, summer solstice and winter solstice. A specific "document-aided design", showing the SRRR level reached by each specific combination "num-ber of segment/tilt angles", is provided. Based on these documents, the adequate combination "number of segment/tilt angles" is easily determined by knowing the desired SRRR level. The SRRR level is determined based on the global incident solar radiation and the desired level of the incident so-lar radiation on the tilted panel. Results are properly presented, discussed and interpreted for each segment/tilt angles combination. [ABSTRACT FROM AUTHOR]

This paper presents a combined control scheme for the grid-connected energy storage system (ESS). There are two control modes: the power control mode for the charging or discharging condition and the energy control mode for the stand-by condition. In the power control, a derivative element is added in the inertial power-frequency droop as a simple power system stabilizer to enhance the system damping. The energy control is developed from the power control by considering the energy storage dynamics. During system disturbances, both control modes are able to provide autonomous grid support. The small-signal model and the large-signal transient model of the ESS with the proposed control scheme are derived. As a result, the output power and/or the stored energy of ESS is in proportional to the frequency deviation and will be restored to the pre-disturbance condition. By selecting appropriate control parameters, the stored energy is controlled within a safe range constrained by the frequency limits without manual interventions. The primary frequency regulation with both power-frequency and energy-frequency proportional relationships is realized by the energy control, which coordinates with the grid secondary frequency regulation. The control performance and the derived energy model are validated by detailed time-domain simulation studies. [ABSTRACT FROM AUTHOR]

Urban rail trains have undergone rapid development in recent years due to their punctuality, high capacity and energy efficiency. Urban trains require frequent start/stop operations and are, therefore, prone to high energy losses. As trains have high inertia, the energy that can be recovered from braking comes in short bursts of high power. To effectively recover such braking energy, an onboard supercapacitor system based on a radial basis function neural networkbased sliding mode control system is proposed, which provides robust adaptive performance. The supercapacitor energy storage system is connected to a bidirectional DC/DC converter to provide traction energy or absorb regenerative braking energy. In the Boost and Buck modes, the state-space averaging method is used to establish a model and perform exact linearization. An adaptive sliding mode controller is designed, and simulation results show that it can effectively solve the problems of low energy utilization and large voltage fluctuations in urban rail electricity grids, and maximise the recovery and utilization of regenerative braking energy. [ABSTRACT FROM AUTHOR]

El siguiente artículo expone una discusión teórica referente a la implementación del programa Energy Control en un municipio de Castilla y León (España), a través del paradigma de la biopolítica, partiendo de una investigación etnográfica previa sobre las adicciones en dicha localidad. La aplicación de dicho referente teórico genera importantes reflexiones acerca del consumo de drogas en el entorno lúdico juvenil y el actual modelo hegemónico de intervención biomédico. Energy Control es un programa asistencial español que desarrolla estrategias de reducción de riesgos dirigidas a personas con consumos de droga no problematizados, en contextos de ocio. Su fin no es eliminar el consumo, tal y como persiguen otros recursos contemporáneos. Se concluye, no obstante, que Energy Control también se encuentra enmarcado dentro del modelo hegemónico de intervención sobre drogas, promoviendo lógicas neoliberales que influyen en lo corporal y lo subjetivo, desde un tipo de salud determinado.

SUMMARY: Many different control schemes have been proposed in the technical literature to control the special class of underactuated systems, the- so-called brachiation robots. However, most of these schemes are limited with regard to the method by which the robot executes the brachiation movement. Moreover, many of these control strategies do not take into account the energy of the system as a decision variable. To observe the behavior of the system's, energy is very important for a better understanding of the robot dynamics while performing the motion. This paper discusses a variety of energy-based strategies to better understand how the system's energy may influence the type of motion (under-swing or overhand) the robot should perform. [ABSTRACT FROM AUTHOR]

The survey examines the current state of the speed gradient method, developed in the 1970–80s for synthesizing control and adaptation algorithms in nonlinear systems, as well as numerous applications of the method to solving scientific and engineering problems. Brief information about speed gradient algorithms and conditions of their applicability, optimality, and passivity are given. Applications of the method to problems of adaptive control and identification, nonlinear control, energy and nonlinear oscillation control, and control in network, multiagent, and distributed systems are discussed. Applications of the method to control of technical systems and to problems in physics, biology, and ecology are presented. Modern modifications and generalizations of the method are provided, including non-Euclidean speed gradient algorithms based on Lyapunov–Bregman functions. [ABSTRACT FROM AUTHOR]

To evaluate the impact of heat-stable salts on the CO2/H2S separation from natural gas using 45 wt% of MDEA amine, we comprehensively and systematically examined essential parameters, such as acid gas loading, solvent makeup flowrate, and reboiler duty, in the presence of various acidic oxidative products with Aspen Hysys version 9. We also investigated the pH of an acid/solvent amine aqueous solution at feed amine conditions. Acidic products from the MDEA oxidation considered were glycolic, oxalic, formic, acetic, thiosulfuric, sulfuric, phosphoric, and thiocyanic products. The simulation results showed that the presence of acids with different chemical structures can minimize both the pH of the solution and acid gas loading. However, the energy demand in the reboiler was reduced. Some of these acids, namely thiosulfuric, formic, and thiocyanic acids, worked as promoters in the desorption process and reduced the solvent makeup flowrate by − 51.71%, − 62.24%, and − 86.39%, respectively, compared with fresh 45 wt% MDEA. Furthermore, a countermeasure for exploiting the reduced reboiler energy demand and promoting the desorption rate in the presence of these acids was proposed. The study outputs can serve as a guide for classifying acid impact and developing a countermeasure for using MDEA amine in managing the formation of heat-stable salts during the absorption of acid gases. [ABSTRACT FROM AUTHOR]

Stacking of floating structures, known as submodules or cells, provides the modular multilevel converter with theoretically unlimited voltage scalability. However, such a convenience comes at a price of increased control complexity, especially in the domain of internal energy control. In other words, energies of the submodule clusters must be controlled to their setpoint values; otherwise, stable and high-performance operation of the converter cannot be ensured. So far, several approaches toward balancing of the modular multilevel converter internal energy, in both vertical and horizontal directions, have been proposed. Nevertheless, differences among them have never been analytically supported. In this article, three seemingly different energy balancing strategies are thoroughly explained, providing a framework for the theoretical comparison of different dynamic responses provided by them. All the results are verified on the large-scale hardware-in-the-loop platform, serving as a digital twin of a grid-connected 3.3-kVac/5-kVdc 1.25-MW converter being driven by the industrial ABB PEC800 controller. [ABSTRACT FROM AUTHOR]

A dual fuzzy control strategy is proposed for the complex energy management problem in a multi-energy-source hybrid power system vehicle with fuel cell + Li-ion battery + super capacitor. According to the efficiency characteristic of each energy source in a fuel cell hybrid power system (referred to as FCHPS), a control scheme with a dual fuzzy control strategy is devised, in which the main fuzzy controller controls the fuel cell to ensure its power output. It is controlled by a sub-fuzzy controller that regulates the power output and braking energy recovery of the Li-ion battery and super capacitor. Simulation verification and comparative analysis were carried out under a world light vehicle test cycle (referred to as WLTC) conditions using MATLAB+ADVISOR. With a dual fuzzy control strategy, fuel cell hybrid vehicles meet dynamics requirements and the fuel economy of these vehicles is generally 6.7% and 6.4% better than power following control and single fuzzy control, respectively. Li-ion batteries are also capable of handling reduced average currents.

In this study, the energy deposited at the welding interface was controlled by changing the stand-off between the flyer and base plates. Pure titanium (TP 270C) and duplex stainless steel (SUS 821L1) were welded under 5- and 15-mm stand-offs, respectively. When the stand-off was 5 mm, the average wavelength and average amplitude of the welding interface were 271 and 61 μm, respectively; at 15 mm stand-off, the average wavelength and average amplitude of the welding interface were 690 and 192 μm, respectively. The differences between the two welding conditions were compared using a tensile test, fracture analysis, a 90° bending test, Vickers hardness, and nanoindentation related to the mechanical properties of materials. The experimental results indicated that the sample with a 5-mm stand-off had better mechanical properties.

Hopping height control is one of the difficult problems in legged control. Many kinds of research employ a leg spring for the supplement of energy, and model the robot as a spring-mass model. Feedback linearization enables to cancel the nonlinear terms theoretically. However, it is difficult to identify the nonlinear terms including the parameters precisely in the real world. This paper nominalizes the robot dynamics as the desired spring-mass system applying a disturbance observer. In order to realize the desired characteristics of the spring and the mass, the disturbance including the nonlinear terms is rejected firstly by a disturbance observer. To make the mass in the workspace as constant, the nominal inertia of the disturbance observer in the joint space is varied. Next, by adding the desired virtual elastic force, the robot dynamics is nominalized as the desired spring-mass system. Based on the nominalized spring-mass dynamics, hopping-height control using energy/phase control is implemented. While energy control is often used for hopping height control, the energy/phase control enables the hopping-height control and the spring-mass oscillation simultaneously. Constant hopping-height and stepwise hopping height are realized experimentally through the proposed control method. The simulations in the case of the ideal dynamics are also conducted for comparison. • This paper proposes compensation control for nominalization of robot dynamics to desired spring-mass dynamics. • The desired dynamics is roughly designed by mechanics, and the residual modeling error is compensated by the proposed control. • Under the nominalized spring-mass dynamics, energy/phase control is implemented to a hopping robot. • The energy/phase control enables hopping height control with energy efficiency. [ABSTRACT FROM AUTHOR]

In this paper, we propose a new class nonlinear hybrid controller (NHC) for swinging-up and stabilizing the (under-actuated) rotary inverted pendulum system. First, the swing-up controller, which drives the pendulum up towards the desired upright position, is designed based on the feedback linearization and energy control methods. Then, the modified super-twisting sliding mode control is proposed based on the new sliding surface to stabilize both the fully-actuated (the rotary arm) and under-actuated (the pendulum) state variables. In the proposed NHC, around the upright position, the stabilization controller is applied, and in different circumstances aside from the upright position, the swing-up controller is used. We show that with the proposed NHC: (i) in the swing-up stage, the pendulum is able to reach the desired upright position; and (ii) in the stabilization stage, the closed-loop rotary inverted pendulum is asymptotically stable. We demonstrate the effectiveness of the proposed NHC through extensive experiments. In particular, (i) the faster swing-up under the similar control effort is obtained, compared with the existing fuzzy logic swing-up controller; (ii) the better stabilization control performance for the convergence of the angular positions of the rotary arm and pendulum is attained and the chattering is alleviated, compared with the existing sliding mode stabilization controllers; (iii) the better stabilization control accuracy with the faster convergence time and lower peak overshoot is accomplished, compared with the existing Fuzzy-LQR controller; and (iv) the good robustness against sudden external disturbances is achieved. [ABSTRACT FROM AUTHOR]

This paper analyzes the security algorithm and energy cost of wireless sensor networks in depth, and designs and implements a series of energy-optimized security solutions to ensure the secure establishment and operation of wireless sensor networks. This paper proposes an improved Ad hoc network routing protocol based on energy control. It introduces a low-energy balanced routing algorithm to reduce routing transmission energy consumption, balance network traffic, and improve the energy control performance of network routing protocols. The protocol uses a cross-layer design in this way, the route selection combines the information of the link the remaining energy. A joint function is formed by the transmit power level remaining energy. The joint function of all nodes on the path is used as the basis for route selection and applied to the route discovery stage. At the same time, the protocol introduces edge degree parameters in the establishment process, the idea of minimum energy consumption path and the introduction of energy consumption ratio parameters in the cluster skull backbone network generation process are adopted to realize the energy optimization of the path establishment process. At the same time, the protocol uses the message interaction mechanism in the path establishment process to implement a node security authentication scheme based on secret shared information without adding any routing communication messages, which effectively prevents the passive and active attacks of the attacker on the network. The results of simulation experiments prove that the secure routing protocol achieves the network’s balanced energy consumption while ensuring the secure communication of the network, and solves the energy problem. [ABSTRACT FROM AUTHOR]

This paper presents the performance of a renewable autonomous hybrid grid composed of photovoltaic system, wind turbines, hydrokinetic turbines, diesel generator and energy storage systems. Three energy dispatch control and several storage systems have been studied. Technical, environmental and economic indicators have been used to determine the impact on the hybrid autonomous grid and its sizing optimization. However, this study goes further by conducting a sensitivity analysis such as capital cost, state of charge and time step, to choose the best system configuration. The results show that, when using the energy storage system composed of pumped hydro, under the load following energy dispatch control, the net present cost and cost of energy are lower with respect to others storage technologies proposed. However, the storage system with the lowest CO2 emissions is lead acid battery using the combined cycle energy dispatch control. In addition, the wind turbines have presented the greatest sensibility in the net present cost with respect to the capital cost variation and pumped hydro-storage present sensitivity response with respect to state of charge. All configurations have different several behaviors, therefore, the advantages and disadvantages of each one are analyzed. [ABSTRACT FROM AUTHOR]