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Genetic fuzzy system for servo motors with a buck converter

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5 Author(s)
Cheng-Lin Lee ; Dept. of Appl. Electron. Technol., Nat. Taiwan Normal Univ., Taipei, Taiwan ; Jheng-YiLin ; Yih-Guang Leu ; Hao-Cheng Yang
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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.

Published in:

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Date of Conference:

9-12 Oct. 2011

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