• Corpus ID: 1154063

Design of Gain Scheduled Fuzzy PID Controller

  title={Design of Gain Scheduled Fuzzy PID Controller},
  author={Leehter Yao and Chin-Chin Lin},
  booktitle={International Conference on Computational Intelligence},
  • L. YaoC. Lin
  • Published in
    International Conference on…
    23 January 2007
  • Computer Science
� Abstract—An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS_FPID) controller consists of both fuzzy PI-like controller and fuzzy PD-like controller. Both of fuzzy PI-like and PD-like controllers are weighted through adaptive gain scheduling, which are also determined by fuzzy logic inference. [] Key Method A modified genetic algorithm called accumulated genetic algorithm is designed to learn the parameters of fuzzy inference system. In order to learn the number of fuzzy rules required for the TSK model, the fuzzy rules are learned in an accumulated way. In other words, the parameters learned in the previous rules are accumulated and updated along with the parameters in the current rule. It will be shown that the proposed GS_FPID controllers learned by the accumulated GA perform well for not…

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