The optimization design of fuzzy controller based on an improved artificial immune algorithm

Miao Yu*, Jie Chen, Li Hua Dou, Ming Gang Gan

*Corresponding author for this work

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

Abstract

An improved artificial immune algorithm is proposed. A large and a small neighborhood are constructed to perform global and local search respectively, so that two-level neighborhood searching mechanism is realized to ensure the search capabilities of the algorithm, and its combination with the control system is presented. Aiming at the fuzzy controller difficulties in the field of intelligent control, it is suggested a design method that employs the improved artificial immune algorithm to adjust the scale factors and membership functions of the fuzzy controller respectively. Then, it is designed a fuzzy controller that is composed of two planar fuzzy controllers by using Sugeno fuzzy reasoning method, which successfully controls an inverted pendulum system. The simulation results show mat the improved algorithm for single-stage inverted pendulum has an implementation of effective control, and it makes the designed performance of fuzzy controller greatly improved.

Original languageEnglish
Title of host publicationChinese Control and Decision Conference, 2008, CCDC 2008
Pages3383-3387
Number of pages5
DOIs
Publication statusPublished - 2008
EventChinese Control and Decision Conference 2008, CCDC 2008 - Yantai, Shandong, China
Duration: 2 Jul 20084 Jul 2008

Publication series

NameChinese Control and Decision Conference, 2008, CCDC 2008

Conference

ConferenceChinese Control and Decision Conference 2008, CCDC 2008
Country/TerritoryChina
CityYantai, Shandong
Period2/07/084/07/08

Keywords

  • Artificial immune system
  • Fuzzy control
  • Optimization design

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Yu, M., Chen, J., Dou, L. H., & Gan, M. G. (2008). The optimization design of fuzzy controller based on an improved artificial immune algorithm. In Chinese Control and Decision Conference, 2008, CCDC 2008 (pp. 3383-3387). Article 4597957 (Chinese Control and Decision Conference, 2008, CCDC 2008). https://doi.org/10.1109/CCDC.2008.4597957