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

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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:   (7487 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.
Full-Text [PDF 952 kb]   (2916 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2015/02/26 | Accepted: 2015/02/26 | Published: 2015/02/26

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Control

Designed & Developed by : Yektaweb