VLSI implementation of a self-tuning fuzzy controller based on variable universe of discourse

  • Authors:

  • Weiwei Shan;Dongming Jin;Weiwei Jin;Zhihao Xu

  • Affiliations:

  • Institute of Microelectronics, Tsinghua University, Beijing, China;Institute of Microelectronics, Tsinghua University, Beijing, China;Institute of Microelectronics, Tsinghua University, Beijing, China;Institute of Microelectronics, Tsinghua University, Beijing, China

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
  • Year:
  • 2005

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Abstract

A novel self-tuning fuzzy controller and its VLSI implementation are developed based on variable universe of discourse. This fuzzy controller is constructed by applying a contraction factor before each input of a conventional fuzzy controller, and a self-tuning gain factor after its output, while all the factors are adjusted with the input variables according to a simplified adaptive law. This fuzzy controller has some features: the contraction factors and output gain factor that improve the performance of the controller are based on variable universe of discourse; these factors are simplified for VLSI implementation; only the active rules are processed and the division in the operation of COA defuzzification is omitted by setting the denominator equal to 1. Results of Matlab – ActiveHDL co-simulation indicate that this self-tuning fuzzy controller works successfully in controlling a nonlinear system to track a reference trajectory.