Paper Title:
Design a Fuzzy Logic Based Speed Controller for DC Motor with Genetic Algorithm Optimization
  Abstract

In this paper, an intelligent speed controller for DC motor is designed by combination of the fuzzy logic and genetic algorithms. First, the speed controller is designed according to fuzzy rules such that the DC drive is fundamentally robust. Then, to improve the DC drive performance, parameters of the fuzzy speed controller are optimized by using the genetic algorithm. Simulation works in MATLAB environment demonstrate that the genetic optimized fuzzy speed controller became very strong, gives very good results and possesses good robustness.

  Info
Periodical
Chapter
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2324-2330
DOI
10.4028/www.scientific.net/AMM.110-116.2324
Citation
N. Changizi, M. Moghadas, M. R. Dastranj, M. Farshad, "Design a Fuzzy Logic Based Speed Controller for DC Motor with Genetic Algorithm Optimization", Applied Mechanics and Materials, Vols. 110-116, pp. 2324-2330, 2012
Online since
October 2011
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Price
$32.00
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