Volume 7, Issue 4 (Journal of Control, V.7, N.4 Winter 2014)                   JoC 2014, 7(4): 1-8 | Back to browse issues page

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Khatibinia M, Gharaveisi A A. Design of fuzzy Controller Using Genetic Multiple Attributed Decision Making for Automatic Voltage Regulator System. JoC. 2014; 7 (4) :1-8
URL: http://joc.kntu.ac.ir/article-1-207-en.html
Abstract:   (5130 Views)
Controller design and optimization can be done with multiobjective approach, in the other hand, controller design and optimization problem is a multiobjective or multiple attributed problem. In this paper, an optimal method is presented and called genetic multiple attributed decision making (GMADM). This method is has two properties it is a multiobjective method and it try to find a set of appropriate optimal solutions. After presenting the method, a fuzzy controller is designed and optimized by GMADM method. This optimal controller is applied on a nonlinear automatic voltage regulator system (AVR). The studied system is the main part of generator, because, the output voltage level is kept constant by AVR system. The simulation results show that the propose method acts well and it is efficient.
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Type of Article: Research paper | Subject: Special
Received: 2015/02/26 | Accepted: 2015/02/26 | Published: 2015/02/26

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