Intelligent control approaches for tilting railway vehicles

H. Zamzuri, A. C. Zolotas, R. M. Goodall

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Fuzzy logic has proved to be an effective methodology for many control system applications as it mimics human control logic. This paper presents the work on fuzzy control design for achieving improved local-per-vehicle tilt performance. Two fuzzy-based nulling-type tilt control schemes are discussed, a Fuzzy-PI, and a PID with fuzzy correction. The performance of the control schemes is assessed via appropriate computer simulations and a recently proposed tilt control assessment method.

Original languageEnglish
Pages (from-to)834-842
Number of pages9
JournalVehicle System Dynamics
Volume44
Issue numberSUPPL. 1
DOIs
Publication statusPublished - 2006
Externally publishedYes

Fingerprint

Intelligent control
Control system applications
Vehicle performance
Fuzzy control
Fuzzy logic
Computer simulation

Cite this

Zamzuri, H. ; Zolotas, A. C. ; Goodall, R. M. / Intelligent control approaches for tilting railway vehicles. In: Vehicle System Dynamics. 2006 ; Vol. 44, No. SUPPL. 1. pp. 834-842.
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Intelligent control approaches for tilting railway vehicles. / Zamzuri, H.; Zolotas, A. C.; Goodall, R. M.

In: Vehicle System Dynamics, Vol. 44, No. SUPPL. 1, 2006, p. 834-842.

Research output: Contribution to journalArticle

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