An adaptive incremental fuzzy TSK controller combined with evolutionary optimization

Niusha Shafiabady, Rajprasad K. Rajkumar, Dino Isa, J. Michael Menke, M. A.Nima Vakilian

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

Abstract

In this paper fully informed particle swarm optimization (FIPSO) is used as a tool to create an incremental method for design and optimization of Takagi-Sugeno-Kang (TSK) fuzzy controllers. The controller is refined as time goes on, starting from a single controlling rule and evolving as FIPSO leads it to optimize itself. The controller is adaptive and can adjust itself to changes in the parameters of the system as it updates its rule base and parameters. The proposed scheme was applied to the inverted wedge that is a planar robot with two degrees of freedom and a single control input. The inverted wedge is an under actuated system known to be a good test bed for the development of unconventional advanced control techniques. The adaptive fuzzy TSK controller achieved the control objective in a short period of time which shows the efficiency of the proposed method.

Original languageEnglish
Title of host publicationIndustrial Engineering, Management Science and Applications 2015
EditorsKuinam J. Kim, Mitsuo Gen, Yabe Hiroshi, Xiaoxia Huang
PublisherSpringer-Verlag London Ltd.
Pages747-758
Number of pages12
Volume349
ISBN (Print)9783662471999
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2015 - Tokyo, Japan
Duration: 26 May 201528 May 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume349
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2015
Country/TerritoryJapan
CityTokyo
Period26/05/1528/05/15

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