Study of Fuzzy Control for Intelligent Cantilever Beam Based on Genetic Algorithm
The design of fuzzy controller is the key of fuzzy control system, while the core of fuzzy controller design lies in fuzzy rules, whose performance determines the control effect of fuzzy system. General fuzzy rules are obtained from expert experience, in which much subjectivity exists. In this paper, a fuzzy controller is designed by taking an intelligent cantilever beam as the research object. And a method using the genetic algorithm to optimize fuzzy rules is proposed and the genetic coding as well as the fitness function is confirmed. Finally, the simulation model of intelligent cantilever beam is built by Matlab/Simulink, and the vibration control effects of fuzzy controller optimized by genetic algorithm are compared with those un-optimized. The simulation results indicate that the vibration amplitude of intelligent cantilever beam has a significant decrease and the vibration decay rate has a significant increase after the fuzzy rules optimized.
Helen Zhang, Gang Shen and David Jin
J. J. Zhang et al., "Study of Fuzzy Control for Intelligent Cantilever Beam Based on Genetic Algorithm", Advanced Materials Research, Vols. 204-210, pp. 25-30, 2011