Title :
Genetic fuzzy system for servo motors with a buck converter
Author :
Lee, Cheng-Lin ; Lin, Jheng-Yi ; Leu, Yih-Guang ; Yang, Hao-Cheng ; Wang, Wei-Yen
Author_Institution :
Dept. of Appl. Electron. Technol., Nat. Taiwan Normal Univ., Taipei, Taiwan
Abstract :
The paper proposes a fuzzy control method with a real-time genetic algorithm for an uncertain DC server motor with a Buck converter. The parameters of the fuzzy system are online adjusted by the real-time genetic algorithm in order to generate appropriate control input. For the purpose of on-line evaluating the stability of the closed-loop system, an energy fitness function derived from backstepping technique is involved in the genetic algorithm. According to the experimental results, the genetic fuzzy control scheme performs on-line tracking successfully.
Keywords :
closed loop systems; fuzzy control; fuzzy systems; genetic algorithms; power convertors; servomotors; stability; uncertain systems; backstepping technique; buck converter; closed loop system stability; energy fitness function; fuzzy control method; genetic fuzzy control scheme; genetic fuzzy system parameter; online tracking; real-time genetic algorithm; servo motor; uncertain DC server motor; Adaptive systems; Backstepping; Biological cells; Control systems; Fuzzy systems; Genetic algorithms; Genetics; DC servo motor; fuzzy system; genetic algorithm;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6084018
