LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design

Hairi Zamzuri, Argyrios C. Zolotas, Roger M. Goodall

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

5 Citations (Scopus)

Abstract

This paper present work on modern control approaches in titling railway vehicles. The design of the Linear Quadratic Gaussian with integral action controller provides the required tilt compensation, while the addition of the fuzzy mechanism to the controller improves the system performance both for the deterministic and stochastic track. Moreover, the use of multiobjective GA as a tuning method seeks an optimum value based on the imposed constraints in the objective functions.

Original languageEnglish
Title of host publication3rd IFAC Workshop on Advanced Fuzzy and Neural Control
PublisherElsevier
Pages7-12
Number of pages6
Volume40
Edition21
ISBN (Print)9783902661333, 9781617381140
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event3rd IFAC Workshop on Advanced Fuzzy and Neural Control - Valenciennes, France
Duration: 29 Oct 200730 Oct 2007
Conference number: 3
https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/40/issue/21

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherElsevier
Number21
Volume40
ISSN (Print)1474-6670

Conference

Conference3rd IFAC Workshop on Advanced Fuzzy and Neural Control
Abbreviated titleAFNC 2007
CountryFrance
CityValenciennes
Period29/10/0730/10/07
Internet address

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  • Cite this

    Zamzuri, H., Zolotas, A. C., & Goodall, R. M. (2007). LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design. In 3rd IFAC Workshop on Advanced Fuzzy and Neural Control (21 ed., Vol. 40, pp. 7-12). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 40, No. 21). Elsevier. https://doi.org/10.3182/20071029-2-FR-4913.00003