Different Control Strategies Applied for Active Power Filter


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Abstract


The philosophy of the paper is to present different control strategies applied for Active Power Filter.  Conventional techniques have been identified and they have compared with Soft Computing techniques. Basically three soft computing techniques have been identified Fuzzy logic (FL), Artificial Neural Network (ANN), and Genetic Algorithm (GA). The review has been done for recognizing the components, which can control APF, and three components have been identified Harmonic Detection, Current Control and DC bus voltage. The objective of most papers to use soft computing techniques in Active Power Filter is to increase the efficiency, stability, accuracy, and robustness, tracking ability of the systems. Moreover, minimizing unneeded signal and to reduce total harmonic distortion is the ultimate goal in applying these techniques to the APF.
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Keywords


Active Power Filter; Fuzzy Logic; Artificial Neural Network; Genetic Algorithm; Power Quality

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References


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