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This paper presents an analysis for the status and the deficiency of the condition monitoring system for AGHPCs, new design of the control module based on AT89C51 is given in this paper, at the same time, the development and the realizing of the control module are discussed in detail. For the realization of aircraft hydraulic pump truck state monitoring provides a theoretical basis for intelligent and implementation plan.

Aiming at the controlled object with large lag, model uncertainty and time variation due to the effects of working environment in printing process, and printing process requires few adjustment times, this paper designs a T-S fuzzy controller based on the theoretical model of printing color quality control, and uses the genetic algorithm to optimize the initial control rules of fuzzy controller . The optimization method aims at the problems of less known condition and the uncertain effects due to the environmental changes after the first printing. In the process of optimization, the theoretical model of the printing color quality control is used as the controlled object, and the parameters of control rule corresponding to the points of special error are optimized one by one, then the general fuzzy control rules can be got. Finally, an example illustrates the process of this method, and the robustness of the optimized fuzzy controller is analyzed. From the control results got by the optimized fuzzy controller, it can be seen that this method improves the control effects greatly, and reduces adjustment times. Finally, this paper gives some suggestions on its further perfection.

Due to the shortcomings of long training time and slow convergence of BP neural network, this paper presents a new improved method that weight is no longer a constant but turned into a function of adjustable parameters. After the training of the improved BP neural network is completed, the network can map the nonlinear relationship between motor current, flux and rotor position. Based on the analysis of the unique structural properties of switched reluctance motor, this paper also proposes a method of greatly reducing the sample data to save computing time. Simulation results show that this method simplifies the complexity of the control system and improve detection accuracy, thus realize position sensorless detection of the switched reluctance motor.

This paper presents a method of designing vibration compensators for linear mechatronic systems based on their inverse multimodal representation and a customized second order transfer function embedding the specified dynamic behavior. The linear non-compensated system is modeled by a parallel connection of independent second order transfer functions. There are four flavors of compensators described in this paper, each having a different choice of the reference model parameters. A brief numerical example is also provided.

This paper presents the dual fuzzy neural network, designed the decisional autonomy flight controller for civil aviation aircraft in approach and landing phase. Real-time learning method was applied to train the neural network using the gradient-descent of an error function to adaptively update weights. Adaptive learning rates were obtained through the analysis of Lyapunov stability to guarantee the convergence of learning. Conventional automatic landing system (ALS) can provide a smooth landing, which is essential to the comfort of passengers. However, these systems work only within a specified operational safety envelope. When the conditions are beyond the envelope, such as turbulence or wind shear, they often cannot be used. The objective of this paper is to investigate the use of dual fuzzy neural network in ALS and to make that system more intelligent.

This paper has set up the electro-hydraulic servo mathematical model for loader working device and devises a device motion controller with H∞ mixed sensitivity algorithm in order to improve loader’s automaticity and maneuvering performance. This paper has done some simulation research of the servo motion controller with Matlab/Simulink. And research has shown that the H∞ robust controller may improve working device’s automaticity and maneuvering performance enormously, the device motion controller has well robust stability and performance.

Winding tension is one of the most important factors that affects the winding products' quality. This paper introduces a method to develop tension control system based on data acquisition card, and presents the block diagram of the system which actuators are AC servomotors. In order to meet the demands on tension control system, such as good stability, strong robust and etc., this paper proposes a tension control method which is based on the fuzzy control theory.

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems, where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This coordination problem involves many other issues such as communication, abstraction and last but not least optimization. This first part of the paper is devoted to the principals of the coordination control, addressing some of those issues using as a case study the problem of coordination control for avoiding voltage collapse in large-scale multi-area power systems.

This paper describes a nonlinear adaptive dynamic inversion controller for a flexible air-breathing hypersonic vehicle model. The complete characterization of the nonlinear internal dynamic of the Bolender and Doman model with respect to velocity，altitude and angle as the regulated outputs is considered in this paper. The derivation of the internal dynamics presented in this work is comprehensive of the flexible dynamics. For the purpose of control design，we decompose the equations of motion into functional subsystems，namely，the velocity subsystem，the altitude and flight-path angle subsystem，and the angle of attack and pitch rate subsystem. Each subsystem is controlled separately using available inputs and intermediate virtual control commands. The adaptive fuzzy system is then developed to identify the uncertain in the model parameters. Simulation results are provided to demonstrate the robustness and the efficacy of the proposed controller

This paper designs a new ultrasonic position and orientation model, further, a kind of technical scheme that can achieve the goal of large-range position and orientation system based on the designed model is proposed. Aiming at the designed model, this paper deeply analyzes the influence of distribution structure and physical parameters of the sensors on the position range, resolution and accuracy, which will provide theory support for developing high-performance ultrasonic position and orientation systems.

In this paper fuzzy logic control is introduced in auto adjust control system of air in bus. Fuzzy controller employs fuzzy control model of two inputs and one output. The paper also introduces the hardware framework, working principle and software of the system, analyzing merits of fuzzy logic technique, putting emphasis on the design of the fuzzy controller. In the controlling process, fuzzy controller samples temperature signal in bus and calculate deflection and deflection rate of temperature, looks up corresponding output in controlling table, and calculates its precision, then fuzzy controller gives related signal to motors and valve, acquiring satisfactory effect.

The internal parameters of ball mill are very important in the grinding process and have significant impact on the grinding results. Accurate measurement of the internal parameters of ball mill is crucial and indispensable for optimization and control of grinding process. In this paper, a novel tri-sensor measurement method was used to measure the external signals (i.e., bearing pressure, sound intensity and power consumption) of ball mill. Mathematical models, which link the external signals of ball mill with its internal parameters, were established to predict the internal parameters of ball mill. Experimental results showed that the mathematical models could directly predict the internal parameters of ball mill once the external signals were obtained. The tri-sensor measurement method and the mathematical models proposed in this paper provided a new way and solid basis for optimization and control of ball milling.

A measurement method for the pose and position parameters of a roadheader is presented in this paper. The coordinates relationship between tunnel benchmark and roadheader body is established. Discrete model of intelligent walking of roadheaders is constructed. This paper also presents that the first condition of profiling cut for a roadheader is precise control of the parameters,meaning intelligent walking. Also the control method for the pose parameters of roadheader rectification is discussed, and the intelligent walking can provide parameters for the intelligent cutting, calculation shows that the measurement method is acceptable and the error of the pose and position is controllable.

By analysing the formation mechanism of human facial expressions and summary of existing research about facial expression robot, the paper summarized the facial expression robot, developed three technical difficulties, and proposed the improvements according to the technical difficulties. Based on the above, the paper presented one facial robot with eight facial expressions of basic emotions. In mechanical part, the mechanical structure with 20 degrees of freedom is designed; in control part, SSC32 V2 is used to control 20 servo coordination movements; in simulation modelling part, a special silicon rubber material is developed and the soft part of material is used to as the skin of facial expression robot. The facial expression of robot substantially increased the extent of such robot simulation.

The energy storage system can be engaged to smooth the fluctuation output of wind power for better power quality and stability of power grid. The paper proposes a low-pass-filter-based smooth control model of the wind-storage combined system. Then the paper proposes the evaluation indices which depict power fluctuation of the combined system without/with smooth control, on which the installation storage capacity is optimized. All simulation is done on the basis of measured data

Hydrogen bell-type furnace control system plays a vital role in cold-roll production process. Optimizing this system is a good way to improve the production quality. In this reason, this paper combining the ideas of multi-tier architecture in software engineering, taking the actual situation of hydrogen bell-type furnace control system into account, making full use of the existing system, designed the control system based on multi-C/S structure. This paper analyzes the function of the system, given the system hierarchy, system implementation and describes some of the key technologies

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This second part of the paper presents simulation results on a 12-bus 3-area test system, using the distributed model predictive control paradigm in order to design a coordinating model-based feedback controller. Coordination requires that each agent has some information on what the future evolution of its power flows to and from its neighbors will be. It will be shown that how the communication between agents can avoid voltage collapse in circumstances where classical uncoordinated controllers fail.

Aiming at the problem that contact advance lags seriously and automatic advance with shearer is not in time in ASQ of hydraulic support on fully mechanized coal mining face, this paper proposed a solution of adaptive advance system based on Neural Network PID. This advance method can effectively reduce invalid waiting time in advance and the probability that friction between top beam and roof increases, and thus to improve advancing velocity and achieve continuity of coal mining automation. This paper finally used SIMULINK to carry out simulation. Results show that Neural Network PID controller has better performance than conventional PID controller.

Virtual prototype technology is a digital design method which can avoid the deficiency of the conventional method. The paper presents the application Virtual Prototype technology to the development of the Self-motion Advanced Hydraulic Support. The structure of the Virtual Prototype system is first introduced, then the functions of the subsystems are specified, and integrated mode of subsystem and ADAMS kernel are discussed. The paper realizes the development of the support on the basis of Virtual prototype technology.

In this paper, the features of electrical power steering (EPS) and semi-active suspension (SAS) systems have been carefully researched, and an integrated control strategy based on neural network theory was proposed to achieve the integrated control of EPS and SAS systems. In order to achieve the simulation of the integrated control strategy, a neural network controller of EPS and SAS systems was designed under MATLAB environment, and a passenger car virtual prototyping model including the EPS and SAS systems was established in vehicle dynamics simulation software SIMPACK. By ride comfort and handing stability simulation, the integrated control strategy was proved to be effective. The primary goal of this paper is to propose an effective and reliable integrated control strategy of EPS and SAS systems, and improve the ride comfort as well as handing stability of automobile.

The special crane used by ship in this paper is a multi-joints and folding robot arm’s work system. Because it needs to work in a variety of sea conditions and being affected by waves and so on, the high demands of the trajectory control should be required. For this kind of complex control system, a system which is analyzed and simulated by the combination of ADAMS (Automatic Dynamic Analysis of Mechanical Systems) modeling based on a virtual prototype and MATLAB control is built and designed. The composition and implementation of the system are presented in the paper. The fuzzy cerebella model articulation controller (FCMAC) was used to tracking control and dynamic simulation research was done for this system. The results showed the superiority of this method which made kinematics and dynamics modeling analysis on ship-borne special crane based on the ADAMS. The simulation results of controller showed FCMAC had good tracking effect. The research method has intuitive, efficient and convenient features, provide better thought for similar studies of complex mechanical system.

This paper introduces the principle of the SQP algorithm and how to realize in MATLAB optimization toolbox. With mega watt wind turbine gear transmission system as the research object, the selection of the appropriate design variables and constraints, as the volume of transmission system is the smallest and part of the gear rotational inertia minimum for target function, and set up the optimization mathematical model. Use the MATLAB optimization toolbox to optimize, and then calculate and analysis the example. The results show that before and after the optimization of the system, the volume and the rotational inertia of the gear are significantly reduced. This paper will supply some references for the wind power gear transmission system design.

In this paper, the model of EHPS is built on AMESim and MATLAB / Simulink software platform, co-simulation is carried out in the AMESim and Simulink integrated simulation environment with the use of fuzzy adaptive PID control strategy. The results show that EHPS mechanical dynamics model and control algorithm in the paper are correct.

The purpose of this paper is to analyze the working principle of folding machine and it also explains the working mode of the stepper motor. Basing on these, the control-system of folding machine is designed. It is through the AT89C52 MPU and the corresponding circuit of periphery to control the two stepper motors. So it can drive the feeding roller and the paper roller to overlay in accordance with the predefined size. The system achieves the automation of folding. It not only reduces the labor, but also improves the efficiency and accuracy of folding. It has a very broad application prospect.

Uncertainties in the servo system may cause the deterioration of the control quality of the electro-hydraulic servo system, and even lead to its instability. To solve this problem , this paper proposes a sliding model control (SMC) strategy with gray prediction and compensation by making use of gray prediction to identify and compensate parameter perturbation and external disturbance. Given the quality and stability of servo system will be effected by the chartering phenomenon in the SMC, this paper proposes an approach to overcome the chattering a mixed reaching law approach. The proposed control strategy improves anti-disturbance, anti-parameters perturbation capability and reduces the chattering problem. Simulation and experiment indicated that: external disturbance and parameter perturbation of the servo system can be effectively predicted and compensated by the proposed control strategy, and the problem of chattering was also inhibited obviously; the anti-interference and anti-parameters perturbation ability, stability and control quality of the system were improved.

Industrial robots are a cost-efficient possibility to face the increasing demands of future production processes. This paper presents an adaptronic approach to improve the structural properties of stateoftheart robots. For this purpose, highly-flexible piezo-based actuator foils and sensors are directly integrated into CFRP components without structural weakening. This paper shows the potential of these implemented measures for the active damping of structural vibration due to chattering while machining and for aprecision positioning even in the sub-micrometer range.

In this paper, an autonomous mobile robot has been designed and fabricated which can be used in both indoor and outdoor for industrial and household applications. Here using six servo motors and four DC motors with their controllers (servo controller and L293D DC Motor controller) the mobile robot can pick any object from its workspace and by avoiding collision it can place the object in the desired location. ASCII ultrasonic sensor and motion sensor are used along with ATmega 2560 microcontroller which is programmed to take the sensors output as its input and controls the dc motor and servo motors to pick and place objects and avoid obstacle during motion of the mobile robot. Here low-cost solar panels have been used to recharge the Li-ion batteries used for the motors and microcontroller in case of outdoor environment. The obstacle avoidance and path planning algorithms have been developed and a case study has been presented in this paper.

Vector control technology is regarded as a kind of controlling manner of AC asynchronous motor and it has already become the first method of the high-performance variable-frequency speed regulating system. According to the basic principles of induction motor vector control, this paper constructs simulation model of rotor magnetic field oriented vector control system based on the MATLAB software. The paper analyzes the operation of motor on the basis of mutation of a given speed and sudden load. The simulation result including the oscillogram speed, torque,three phase current and two phase current were presented and analyzed. Results show that it has good dynamic performance, and it realizes the decoupling control system.

This paper mainly introduces the mechanical structure and parameters of Chinese massage robot, establishes coordinate system for the whole structure and on this base, establishes equations of motion for manipulator by D-H method. Then this paper makes a planning for trajectory of Palm kneading which is one of ten massage techniques, realizes it using interpolation method, and takes a simulation to the trajectory by MATLAB software at the end.

In this paper, the advantage of virtual instrument technology is analyzed, and vibration-monitoring system of hydropower unit based on virtual instrument technology was developed combining the requirement of vibration monitoring. The design idea on hardware configuration and functions of each software system module of the system are introduced. The test experiments are made in the laboratory. Experiment results show that the system developed in this paper can realize the function of real-time sampling of the data, monitoring, analyzing, testing and remote diagnosis of the hydraulic vibration.

Controllable reactor is the common equipment in the modern power system, which plays an important role in voltage control and reactive power compensation. The core structure of reactor effects the magnetic field distribution in the core and the loss of reactor. In this paper, the models of two kinds of classic reactors are built by the ANSYS command flow method, and explain the differences between magnetic valve controllable reactor and common reactor. This paper points out the advantages of command flow compared with the graphical user interface and the important role of ANSYS finite element analysis in the structural design of reactor.

This paper describes the design and implementation of a low-cost robot control system based on a Programmable Logic Controller (PLC). The robot is a 2-DoF (Degrees of Freedom) purely translational mechanism, which has potential application in food and electronics industry for high speed pick-and-place operation. Combined with a conveyor belt, it can make 3-DoF purely translation motion. In this paper, the inverse kinematics, forward kinematics, singularity, and workspace analysis are presented. The control system architecture and software design is also introduced. The prototype is exhibited at last.

This paper describes the prediction of the power output from the Self-Powered-Neutron-Detector (SPND) in the liquid zone control compartment (LZC) of nuclear reactors, which are important in online global power measurement in a large Pressurized Heavy Water Reactor (PHWR). Noisy measured data from the SPNDs have been smoothened out with the help of an ARMA filter and then the smoothed data is used as the input for the neural networks for training purpose. These typical intelligent predictors have been studied with its variation considering different dynamic neural network structures with integer and fractional order noise considerations in the measured sensor data. The paper reports the best found network structure for the prediction of measured set of noisy SPND data.

This paper presents a novel control system for underwater vehicle. The underwater vehicle is affected by the inevitable surge and measurement error when working. In order to achieve reliable and quick control characteristic, this paper realize the control system by fuzzy compensation based on Kalman predictor with iterative control response. With this predictor and the control error, the fuzzy controller calculates the control compensation, and then the underwater vehicle completes a fast response control. By the control simulation, the results show that the method is effective and feasible.

Induction motor is widely applied to people's lives and production. This paper presents the simple and sophisticated of some methods which are used to diagnose the rotor fault. After analyzing the advantage and disadvantage of these methods, this paper tells what the key of rotor fault diagnosis of induction motor is, and put forward a new method.

In order to improve the dynamical respond of the weighing system and to meet the demand of rapid weighing, a new method based on radial basis function neural network (RBFNN) is introduced in this paper. The dynamic system is described as a network and the output values of steady state are predicted by an on-line modeling before the platform has settled to the steady state. The sample weight is calculated according to weighted moving average. The experimental results proved that the neural network method in this paper can be used to effectively reduce the weighing time and to increase the accuracy simultaneously.

For various problems in the procedure of high-power induction motor’s starting and disadvantages of traditional starting methods, this paper proposed a new type of full-voltage starting method of high-power induction motor—a full-voltage starting method with dynamic reactive power compensation, introduced its principle, studied the control strategy of full-voltage starting with dynamic var compensation emphatically, and established the simulation model for direct starting, soft starting and full-voltage starting with dynamic var compensation based on the Matlab/Simulink simulation software to do digital simulation and compared three methods. The simulation results indicated that the method proposed in this paper can make the high-power induction motor start fast and smoothly with both high-torque and low starting current, and it has a better starting performance than traditional starting methods and the advantage of not affecting power quality.

An energy-saving control system for building heating supply system is presented in this paper. Its design and implementation are on the basis of occupancy detection in buildings. By taking advantage of the information fusion technology, the control system will determine human’s location and control the heating equipments automatically according to non-human zone and human zone to realize the energy saving. The information fusion technology fuses three categories of information, which are the people counting information, the infrared sensors information and the RFID information. How to design and implement the heating energy-saving control system is described explicitly in this paper. Since the system has developed with platform concept based on the wireless network and the Internet, it can be used to other building electrical equipment systems with less modification.

With superior performances, Linear motor driven pumping unit becomes the electrical control of the focus and emphasis of the recent oil field equipment. Against the beam pumping unit motor efficiency, low power factor and stoke that difficult to regulate, this paper proposes new research programs about energy-saving line pumping systems by linear motor driven source. Paper Studys the mechanical model of linear motor in detail, using MATLAB / SIMULINK, a simulation model is analyzed. At the base of vector control of revolving induction motor, we established the linear motor control system. Theoretical analysis and computer simulation results show that the speed control system has good performance, response characteristics of the electromagnetic force, and demonstrate the proposed mathematical model and control method.

Parameter identification method is researched for the single-input and single-output systems in this paper. Based on the analysis of method of least squares, the new system identification method based on PID control algorithm is proposed. The PID controller is established by connecting the input and output with the system error and the system parameter. And the results of the simulations state that the new identification method is feasible and effective.System identification is the most important part in modern control theory. The definition of system identification proposed by L. A. Zadeh is that, system identification is determination the system in the gained systems which equivalent to the unknown system, according to the input and output of the unknown system. Traditional identification methods include impulse response, least square and maximum likelihood [1-2]. Identification speed and identification precise are all needed in the system identification. But identification speed is incompatible with identification precision. The improvement of identification do always conduce to the increase of identification precision, it can be verified by the identification examples, which is identified by the traditional identification methods. So for higher identification precision, the identification speed is lower. Now, a lot of high precision identification methods based on neural network or genetic algorithm, is proposed [3-7]. These new identification methods can gain very high identification precision, but it needs too much time. A new system identification method based on PID controller is proposed in this paper. It states by simulation that the new me-thod can improve the identification precision and speed.

The paper introduces a small artificial climate chamber control system based on expert knowledge, discusses the method of temperature control and parameters setting, The temperature and humidity control program can fit the expert knowledge base of different varieties of crop growth curve, consistent with the growth needs of different food crops. Taking the ganoderma lucidum as the example, the paper gives its expert knowledge base and control fitting curve. in addition, the modular design of hardware makes the whole system simple and applicable, finally, the simulation images show that this design can achieves the proper accuracy and has good effect.

The sensorless vector control system of permanent magnet synchronous motor (PMSM) is a system with uncertainty and external disturbance. According to sliding mode control theory, this paper realized robust control of the uncertainty and external interference by use of the equivalent control matched with switching control. Meanwhile, in order to eliminate the adverse effect produced by the chattering of the sliding mode, this paper adopts the saturation function of quasi-sliding mode instead of the traditional sign function. Furthermore, the exponential reaching law is used to further weaken the chattering and to ensure the rapidity of the system. Simulation and experimentation show that this control method has good dynamic and static performance.

Inverted Pendulum is a standard problem in control systems and is appropriate for depicting linear control principles. In this system there is an inverted pendulum connected to a cart that moves along a horizontal track with the help of a motor. We can determine the cart’s position and velocity from the motor and the rail track limits the cart’s movement in a bidirectional path. The pendulum’s angle of deviation and the position of the cart are determined by two sensors mounted on the system. Essential measurements and motor control signals are generated by a medium control board linking the computer and the system. Analysis of the results and yielding the control commands are done with the help of a MATLAB program. This is indeed a single input- dual output system because we must be able to control two parameters (pendulum’s angle and cart’s position) with just one control signal to the motor. Since the PID (Proportional Integral Derivative) controller is usually proper for SISO (Single Input Single Output) systems, we are eager to propose a procedure to control one of these parameters underneath the other. In this paper two tactics are described: 1. controlling the cart’s position beneath the pendulum’s angle, and 2. controlling the pendulum’s angle beneath the cart’s position. Regarding the results, one method is proven to be superior. We also mention some practical considerations in this paper.

The speed-adjustable system of asynchronous motor has been widely used in industrial production. in motor control, magnetic control is a key problem, but in order to realize the control of motor, magnetic field must be tested. The testing methods about rotor flux according to the rotor field-oriented control of motor are discussed in this paper. The paper describes the present two rotor flux calculation models: Voltage model and Current model. It concretely analyzes mathematical expressions of these two models in different coordinates, and realizes the matlab simulation of two kinds of model, the simulation results are compared by observations of the magnetic chain calculation results.

Input-Output data modeling using multi layer perceptron networks (MLP) for a laboratory helicopter is presented in this paper. The behavior of the two degree-of-freedom platform exemplifies a high order unstable, nonlinear system with significant cross-coupling between pitch and yaw directional motions. This paper develops a practical algorithm for identifying nonlinear autoregressive model with exogenous inputs (NARX) and nonlinear output error model (NOE) through closed loop identification. In order to collect input-output identifier pairs, a cascade state feedback (CSF) controller is introduced to stabilize the helicopter and after that the procedure of system identification is proposed. The estimated models can be utilized for nonlinear flight simulation and control and fault detection studies.

In view of the high-order, nonlinear, strong coupling, multivariable and time varying character of wind energy conversion system, the fuzzy-logic control strategy is introduced in this paper. First, this thesis analyzes and establishes the mechanism model for each component element of the megawatt class variable-speed variable-pitch wind turbines as well as the wind speed model. Second, for the goal of maximum wind power extraction under rated wind and peak power output maintaining above rated speed wind, PID controllers as well as fuzzy-logic controllers are designed respectively by different wind velocity condition. The simulation results demonstrate that no matter for the following up performance or the anti-interference capability, the fuzzy controllers which are devised in the paper have a better control effect than PID controllers. The fuzzy controllers can reduce system’s overshoot and regulation time more effectively, offset the negative impacts of nonlinearity, and they have better robustness too.

This paper presents a new winding parameter model of UHV transformer used by On-line Least- Squares Identification Algorithm (OLSIA) to estimate winding parameters. This paper also provides the criteria to estimate the accuracy of identification model. With EMTP simulation tool, this paper establishes the model according to parameters of the first UHV power transmission system in China, simulates various situations such as UHV transformer energizing, external fault, internal fault, normal operation in the model, and demonstrates that the OLSIA based on the new transformer model is capable to estimate the winding parameters accurately in various conditions, especially in stable-state condition.

This paper describes the 300MW pumped storage governor system which is applied in Xiangshuijian power station and is featured with State-owned independent intellectual property rights from three aspects. Firstly, this paper describes the principle and configuration of the pumped storage governor system; secondly, it describes some features for the application of the system in Xiangshuijian power station and advanced control strategies thereof; and thirdly, it describes the implementation of some special features of application of the system in Xiangshuijian power station. Through this article, we hope for further exploration of the system in the industry and hope the application of the system can be further popularized in the design and implementation of localization governor system of large pumped storage power station in the future.

The automatic plant startup and shutdown control system (APS) of ultra supercritical unit was studied and analyzed in this paper. According to the difficulties and features of APS design, complete architecture structure and hierarchical control method of APS system were proposed. The interface software between APS and modulation control system (MCS) was developed. The whole process control strategies of feed water system, fuel system, air-flue gas system, bypass system and deaerator water level system were optimized. These strategies realized the whole process control of fuel, feed water and induced & draft fan. The special control strategies of main steam temperature, boiler dry-wet state transition and hot cleaning were also proposed in this paper. It first realized the automatic startup and shutdown of ultra supercritical unit in China.

This paper presented an approach of decoupling the system represented by a time series of dam monitoring data into a series of subsystems and modeling these subsystems with non-linear models. The decoupling analysis of original system was achieved using wavelet packet energy spectrum (WPES). The non-linear models used here is augmented mixed regression (AMR) model. Some detail problems such as how to find the scale for fine wavelet packets, the modeling of sub system, how to choose a forecast model and the data de-noising were studied in this paper. Through the analysis on the monitoring data of a roller compacted concrete (RCC) gravity dam, it proved the good performance of this model in data prediction.