Current Issue : January - March Volume : 2017 Issue Number : 1 Articles : 5 Articles
An adaptive hybrid fuzzy-proportional plus crisp-integral current control algorithm (CCA)\nfor regulating supply current and enhancing the operation of a shunt active power filter (SAPF) is\npresented. It introduces a unique integration of fuzzy-proportional (Fuzzy-P) and crisp-integral\n(Crisp-I) current controllers. The Fuzzy-P current controller is developed to perform gain tuning\nprocedure and proportional control action. This controller inherits the simplest configuration; it is\nconstructed using a single-input single-output fuzzy rule configuration. Thus, an execution of few\nfuzzy rules is sufficient for the controller�s operation. Furthermore, the fuzzy rule is developed using\nthe relationship of currents only. Hence, it simplifies the controller development. Meanwhile, the\nCrisp-I current controller is developed to perform integral control action using a controllable gain\nvalue; to improve the steady-state control mechanism. The gain value is modified and controlled\nusing the Fuzzy-P current controller�s output variable. Therefore, the gain value will continuously\nbe adjusted at every sample period (or throughout the SAPF operation). The effectiveness of the\nproposed CCA in regulating supply current is validated in both simulation and experimental work.\nAll results have proven that the SAPF using the proposed CCA is capable to regulate supply current\nduring steady-state and dynamic-state operations. At the same time, the SAPF is able to enhance its\noperation in compensating harmonic currents and reactive power. Furthermore, the implementation\nof the proposed CCA has resulted more stable dc-link voltage waveform....
Smart devices have become an important entity for many applications in daily life\nactivities. These devices have witnessed a rapid improvement in its technology to\nfulfill the increasingly diverse usage demands. In the meanwhile, rotating machinery\nvibration analysis based on low-cost sensors has gained a considerable attraction over\nthe last few years. For a long time, the vibration analysis of machines has been accepted\nas an effective solution to detect and prevent failures in complex systems to\navoid the sudden malfunction. The objective of this work is to use MEMS accelerometer\nmeasurements to monitor the different level of vibration of a machine. This\nwork presents a new technique for rotating machinery vibration analysis. It uses Fast\nFourier Transformation as a feature extraction algorithm and Fuzzy Logic System\n(FLS) as the classifier algorithm. A smartphone accelerometer is used to collect the\ndata from the vibrating machine. The performance of the proposed technique is\ntested using data from different vibration resources at a different speed of operations.\nThe results are discussed to illustrate the various vibration levels....
This paper proposes a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller. In addition, this paper compares a fuzzy logic based PID with PID regulators whose tuning is performed by standard and well-known methods. In some cases the proposed tuning methodology ensures a control performance that is comparable to that guaranteed by simpler and more common tuning methods. However, in case of dynamic changes in the parameters of the controlled system, conventionally tuned PID controllers do not show to be robust enough, thus suggesting that fuzzy logic based PIDs are definitively more reliable and effective....
A DC microgrid (DC-MG) is a novel power system that uses DC distribution in order\nto provide high quality power. The study system is made by a photovoltaic array (PV), a wind\ngenerator (WG), a fuel cell (FC), and an energy storage system (ESS) to establish a small type DC\nmicrogrid, with the bus being established by DC/DC converters with fuzzy controllers. An overall\npower dispatch was designed for the proposed system to distribute the power flows among the\ndifferent energy sources and the storage unit in the system in order to satisfy the load requirements\nthroughout an entire 24-h period. The structure of a power supervisor based on an optimal power\ndispatch algorithm is here proposed. Optimization was performed using dynamic programming (DP).\nIn this paper, a system configuration of a DC microgrid is analyzed in different scenarios to show\nthe efficacy of the control for all devices for the variable weather conditions with different DC loads.\nThus, the voltage level and the power flow of the system are shown for different load conditions....
This paper presents the fuzzy recurrent neuronet for PV system�s control. Based on the PV system�s\nstate, the fuzzy recurrent neural net tracks the maximum power point under random perturbations. The validity\nand advantages of the proposed intelligent control of PV system are demonstrated by numerical simulations. The\nsimulation results show that the proposed intelligent control of PV system achieves real-time control speed and\ncompetitive performance, as compared to a classical control scheme on the basis of the perturbation & observation\nalgorithm....
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