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The paper presents a solution to control the power delivery system in a microgrid in which the primary energy source is using photovoltaic panels. The proposed mathematical models describe the operation of the main system blocks and are used as reference models in the fault detection mechanism. Using a complex control strategy, the generated power is controlled and the effects of the disturbances which occur in the system, including the faults, are rejected, making the proposed solution a robust and a fault tolerant one. The integrated control solution contains algorithms for the appropriate control of both the boost DC/DC converter and of the single phase inverter blocks. The proposed approaches are directed toward developing algorithms suitable for real-time implementation on 32 bit ARM processors.

A solution for modelling and controlling the operation of DC/DC converters, both in normal and in fault regime, is proposed. The proposed converter model is based on ARX structure with variable coefficients. Feedforward fully connected neural network are used in order to generate the appropriate model coefficients for variable duty cycle. A control structure that can be used both to detect the faults and to reject their effect is introduced. The proposed structure contains a compensator whose action assures the avoidance of the unstable regime when the converter parameters change from their nominal values, acting as an efficient fault tolerance mechanism. The proposed approach is directed toward developing algorithms suitable for real-time implementation on 32 bit ARM processors.

The present study proposes an artificial upper limb prosthesis simulation that combines elements of electric engineering (sensors, data acquisition / transfer, servo-motors) and virtual instruments programming technique (LabVIEW). Since we are in the process of working on a prototype of the prosthesis, the paper presents a model that enables the movement of a single phalanx, operated by a LabVIEW program. This program controls the servo-motor rotation, by using the data acquired by the Arduino board.

The work presents the studies and research in order to implement new techniques concerning semi-active control of the magneto rheological dissipaters dynamic systems with applications to the antivibration isolating systems and the reducing of structural vibrations of the power systems. Starting with a new technique of active control with magneto rheological dissipaters of dynamic systems' vibrations is developed a real time control system in distributed and decentralized structure which allows the reducing of the vibration level, eliminating the resonance frequency, monitoring and diagnoses of power systems for smart microgrid.

The paper presents an original approach for the cytostatic solution temperature modeling and control. In order to determine a mathematical model with high level of validity for the heating process, an original experimental identification procedure is applied, based on fractional-order operators. The main advantages of the resulted model are highlighted in the paper in a comparative manner with some models obtained through classical procedures. The controller tuning is made both considering a simple feedback structure and considering an Internal Model Control strategy. Also, both classical and fractional-order forms of the controller are determined. As a research conclusion, the control structure and the controller which generate the best performance are selected in order to be implemented in an innovative Hyperthermic Intraperitoneal Chemotheraphy equipment.

The wireless system for remote measurement of tilt measures the tilt angles of an object with respect to the local g-vector and communicates the measurements toward a mobile device able to display them or to transfer them further to a PC or to a PDA. A low cost implementation solution is presented, with references to both the hardware platform and to the main ideas behind the algorithms present in the software. Higher versatility is achieved through avoidance of the need to calibrate the sensor to the local value of the g acceleration, using algorithms in which this value does not appear in the computation process.

This paper presents the architecture of a low cost embedded platform for Web-based monitoring and control of a smart home. The platform consists of a distributed sensing and control network, devices for access control and a residential gateway with touch-screen display offering an easy to use interface to the user as well as providing remote, Web based access. The key issues related to the design of the proposed platform were addressed: the problem of security, the robustness of the distributed control network to faults and a low cost hardware implementation.

The paper addresses the sensing and control strategies for dual axis tracking solar concentrators appropriate for solar power systems used for cooling and heating. The constructive structures are introduced together with the remote monitoring architectures appropriate for characterizing the operation of such solar systems. Fundamental positioning structures and tracking principles are analyzed and the common sensing and control strategies are reviewed. Finally, an analysis of performance and nonidealities of a sensing structure is made, indicating solutions for optimal performance.

The paper aims to emphasize the possibilities offered by Virtual Instrumentation (LabVIEW) in the field of biomedical engineering. Thus, it proposes a low cost and flexible wireless transmission (between two equipments) and ECG signals processing architecture. Since during acquisition the signal may be corrupted by noise, in the first stage of the application the signal is filtered by implementing a designed mean averaged filter, followed by a Butterworth filter. The second stage of the application is represented by the infrared transmission of the signal between two infrared “in range” compatible devices. Finally, for an accurate R-peak detection, the Pan-Tomkins algorithm was implemented.

This paper introduces a structured light based imaging architecture able to serve for the development of an affordable guided fracture reduction system. The 3D models of the bones in the healthy limb are used for the preoperative alignment of the proximal and distal segments of the fractured bone using algorithm for automated registration. A structured light setup performs the reconstruction of 3D information needed for the intraoperative guidance in order to support the fracture reduction in accord with the preoperative alignment.

Pristatomas kombinuotas analitinis ir skaitmeninis metodas, skirtas ricių masyvų tinkamumui bekontakciam baterijų krovimui aktyviuosiuose transponderiuose tirti. Analizuojama, kaip ricių sistema veikia energijos perdavimo efektyvumą, skaiciuojant sroves. Planarinių apskritimo formos pirminių ricių masyvas pasiūlytas kaip energijos perdavimo į antrine rite, esancią priėmimo pusėje, sprendimas, atsižvelgiant į atsitiktine ricių tarpusavio padėtį. Il. 19, bibl. 13 (anglų kalba; santraukos anglų ir lietuvių k.). DOI: http://dx.doi.org/10.5755/j01.eee.123.7.2372

The paper aims to analyze the time and frequency domains of EMG signals coming from healthy patients and from patients with muscular disorders (muscular myopathy and neuropathy). The study of these signals can reveal some features in time domain or in frequency domain, that can serve as a basis for diagnosis.

Peritoneal Carcinomatosis (PC) is one of the final stages of abdominal cancers. Nowadays Cytoreductive Surgery followed by Hyperthermic Intraperitoneal Chemotherapy (HIPEC) proves to be a promising therapeutic solution. The authors are developing an HIPE Cequipment and this paper presentsan advanced cytostatic solution temperature control structure. A cascade plus feed-forward control structure is proposed in order to compensate the major temperature disturbances: the temperature loss due to the heat exchange between the solution and the environment, and the heat exchange between the cytostatic solution circulated inside the abdominal cavity and the human body. The assessment of the results is made via computer simulation.

A low cost solution is proposed for measuring the vibrations induced by rotating parts. Attaching very sensitive acceleration sensors allows measuring these vibrations. The signal acquired from the sensors will present a periodic behaviour which is correlated to the rotational speed of the axle. Beside the indication of the RPM of the axle, more detailed information can be extracted using signal processing techniques in order to determine the signatures associated with specific faults.