Simultaneous perturbation stochastic approximation based scaling factor tuning for 3-D fuzzy logic controller

  • Xianxia Zhang*
  • , Jingjing Qin
  • , Dongya Zhao
  • , Yi Zheng
  • , Chenkun Qi
  • , Guitao Cao
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Three-dimensional fuzzy logic controller (3-D FLC) is a new FLC which was developed recently for spatially-distributed systems. In this paper, we present a novel scaling factors online tuning method for 3-D FLC, which can improve the performance of the system without models. The simultaneous perturbation stochastic approximation (SPSA) optimization algorithm is used to adjust the scaling factors by using spatial performance criterion, which can offer a tradeoff between simplicity of implementation, speed of convergence and quality of the final solutions. A catalytic packed-bed reactor is presented as an example to demonstrate the effectiveness of the proposed method. The simulation results show that the system has a better performance and higher disturbance rejection ability by using proposed method.

Original languageEnglish
Title of host publicationProceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
Pages708-712
Number of pages5
DOIs
StatePublished - 2011
Event2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11 - Shanghai, China
Duration: 26 Jul 201128 Jul 2011

Publication series

NameProceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
Volume2

Conference

Conference2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11
Country/TerritoryChina
CityShanghai
Period26/07/1128/07/11

Keywords

  • 3-D fuzzy logic control
  • 3-D fuzzy set
  • scaling factors
  • simultaneous perturbation stochastic approximation

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