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Particle swarm optimization based scaling factor tuning for 3-D fuzzy logic controller

  • Jing Jing Qin*
  • , Xian Xia Zhang
  • , Gui Tao Cao
  • *Corresponding author for this work
  • School of Mechatronics and Automation
  • Shanghai University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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, the scaling factor tuning of 3-D FLC is considered. The particle swarm optimization algorithm is used to adjust the scaling factors by using spatial performance criterion. 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 by using proposed method.

Original languageEnglish
Title of host publicationProceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
PublisherIEEE Computer Society
Pages711-715
Number of pages5
ISBN (Print)9781424459346
DOIs
StatePublished - 2010
Event7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 - Yantai, Shandong, China
Duration: 10 Aug 2010 → 12 Aug 2010

Publication series

NameProceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Volume2

Conference

Conference7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
Country/TerritoryChina
CityYantai, Shandong
Period10/08/10 → 12/08/10

Keywords

  • 3-D fuzzy logic control
  • 3-D fuzzy set
  • Particle swarm optimization
  • Scaling factors

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