LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design

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

doi:10.3182/20071029-2-FR-4913.00003

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 proceeding › Conference contribution › peer-review

8 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 language	English
Title of host publication	3rd IFAC Workshop on Advanced Fuzzy and Neural Control
Publisher	Elsevier
Pages	7-12
Number of pages	6
Volume	40
Edition	21
ISBN (Print)	9783902661333, 9781617381140
DOIs	https://doi.org/10.3182/20071029-2-FR-4913.00003
Publication status	Published - 2007
Externally published	Yes
Event	3rd IFAC Workshop on Advanced Fuzzy and Neural Control - Valenciennes, France Duration: 29 Oct 2007 → 30 Oct 2007 Conference number: 3 https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/40/issue/21

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher	Elsevier
Number	21
Volume	40
ISSN (Print)	1474-6670

Conference

Conference	3rd IFAC Workshop on Advanced Fuzzy and Neural Control
Abbreviated title	AFNC 2007
Country/Territory	France
City	Valenciennes
Period	29/10/07 → 30/10/07
Internet address	https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/40/issue/21

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10.3182/20071029-2-FR-4913.00003Licence: Other

Cite this

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title = "LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design",

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.",

keywords = "Fuzzy logic, Genetic algorithm, Linear Quadratic Gaussian, Tilt control, Tilting trains",

author = "Hairi Zamzuri and Zolotas, {Argyrios C.} and Goodall, {Roger M.}",

year = "2007",

doi = "10.3182/20071029-2-FR-4913.00003",

language = "English",

isbn = "9783902661333",

volume = "40",

series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

publisher = "Elsevier",

number = "21",

pages = "7--12",

booktitle = "3rd IFAC Workshop on Advanced Fuzzy and Neural Control",

address = "Netherlands",

edition = "21",

note = "3rd IFAC Workshop on Advanced Fuzzy and Neural Control, AFNC 2007 ; Conference date: 29-10-2007 Through 30-10-2007",

url = "https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/40/issue/21",

}

Zamzuri, H, Zolotas, AC & Goodall, RM 2007, LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design. in 3rd IFAC Workshop on Advanced Fuzzy and Neural Control. 21 edn, vol. 40, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 21, vol. 40, Elsevier, pp. 7-12, 3rd IFAC Workshop on Advanced Fuzzy and Neural Control, Valenciennes, France, 29/10/07. https://doi.org/10.3182/20071029-2-FR-4913.00003

LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design. / Zamzuri, Hairi; Zolotas, Argyrios C.; Goodall, Roger M.

3rd IFAC Workshop on Advanced Fuzzy and Neural Control. Vol. 40 21. ed. Elsevier, 2007. p. 7-12 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 40, No. 21).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design

AU - Zamzuri, Hairi

AU - Zolotas, Argyrios C.

AU - Goodall, Roger M.

N1 - Conference code: 3

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Fuzzy logic

KW - Genetic algorithm

KW - Linear Quadratic Gaussian

KW - Tilt control

KW - Tilting trains

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DO - 10.3182/20071029-2-FR-4913.00003

M3 - Conference contribution

AN - SCOPUS:79961008073

SN - 9783902661333

SN - 9781617381140

VL - 40

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

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EP - 12

BT - 3rd IFAC Workshop on Advanced Fuzzy and Neural Control

PB - Elsevier

T2 - 3rd IFAC Workshop on Advanced Fuzzy and Neural Control

Y2 - 29 October 2007 through 30 October 2007

ER -

LQG with Fuzzy Correction Mechanism in Tilting Railway Vehicle Control Design

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