Optimization of a fuzzy controller using taguchi methods with multiple performance characteristics

Cheng Hsiung Chiang, Liang Hsuan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fuzzy controllers in general are designed using the experts' knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic is considered. For determining the settings of factors in a systematical way, we apply Taguchi methods in this paper to design the structure of a fuzzy controller with multiple performance characteristics. A cart-pole system is exemplified to illustrate the design processes. An aggregated performance index is also proposed to measure the response of the cart-pole system. The simulated results showed that the proposed method can find the efficient design for fuzzy controller.

Original languageEnglish
Title of host publicationProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
Publication statusPublished - 2006 Dec 1
Event9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
Duration: 2006 Oct 82006 Oct 11

Publication series

NameProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume2006

Other

Other9th Joint Conference on Information Sciences, JCIS 2006
CountryTaiwan
CityTaiwan, ROC
Period06-10-0806-10-11

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chiang, C. H., & Chen, L. H. (2006). Optimization of a fuzzy controller using taguchi methods with multiple performance characteristics. In Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 [FTT-36] (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006). https://doi.org/10.2991/jcis.2006.286