Optimal design for passive suspension of a light rail vehicle using constrained multiobjective evolutionary search

This research proposes a systematic and effective optimization process for the design of vertical passive suspension of light rail vehicles (LRVs) using new constrained multiobjective evolution algorithms. A multibody dynamic model of the three-car train set is presented and the suspension spring an...

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Vydáno v:	Journal of sound and vibration Ročník 285; číslo 1; s. 407 - 424
Hlavní autoři:	Shieh, Niahn-Chung, Lin, Chun-Liang, Lin, Yu-Chen, Liang, Kuo-Zoo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Elsevier Ltd 06.07.2005 Elsevier
Témata:	Algorithms Applied sciences Constraints Deflection Design engineering Evolution Exact sciences and technology Fundamental areas of phenomenology (including applications) Machine components Mechanical engineering. Machine design Optimization Physics Rails Springs and dampers Vehicles Evolutionary algorithm Multiobjective programming Rail vehicle Vibration damper N body system Mechanical clearance Passive system Optimization Optimal design Engineering design Design process Vehicle suspension Genetic algorithm Dynamic model
ISSN:	0022-460X, 1095-8568
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Abstract	This research proposes a systematic and effective optimization process for the design of vertical passive suspension of light rail vehicles (LRVs) using new constrained multiobjective evolution algorithms. A multibody dynamic model of the three-car train set is presented and the suspension spring and damping parameters are optimally designed. A new design of the passive suspension is aided by the use of evolution algorithms to attain the best compromise between ride quality and suspension deflections due to irregular gradient tracks. Extensive simulations are performed to verify the proposed design scheme. The preliminary results show that, when the passive suspension is optimized via the proposed approach, a substantial improvement in the vertical ride quality is obtained while keeping the suspension deflections within their allowable clearance when the light rail vehicle runs onto the worst track condition.
AbstractList	This research proposes a systematic and effective optimization process for the design of vertical passive suspension of light rail vehicles (LRVs) using new constrained multiobjective evolution algorithms. A multibody dynamic model of the three-car train set is presented and the suspension spring and damping parameters are optimally designed. A new design of the passive suspension is aided by the use of evolution algorithms to attain the best compromise between ride quality and suspension deflections due to irregular gradient tracks. Extensive simulations are performed to verify the proposed design scheme. The preliminary results show that, when the passive suspension is optimized via the proposed approach, a substantial improvement in the vertical ride quality is obtained while keeping the suspension deflections within their allowable clearance when the light rail vehicle runs onto the worst track condition.
Author	Liang, Kuo-Zoo Shieh, Niahn-Chung Lin, Chun-Liang Lin, Yu-Chen
Author_xml	– sequence: 1 givenname: Niahn-Chung surname: Shieh fullname: Shieh, Niahn-Chung organization: Chung Shan Institute of Science and Technology, Taoyuan 325, Taiwan, ROC – sequence: 2 givenname: Chun-Liang surname: Lin fullname: Lin, Chun-Liang email: chunlin@dragon.nchu.edu.tw organization: Department of Electrical Engineering, National Chung Hsing University, 250 Kuo Kuang Road, Taichung 402, Taiwan, ROC – sequence: 3 givenname: Yu-Chen surname: Lin fullname: Lin, Yu-Chen organization: Institute of Automatic Control Engineering, Feng Chia University, Taichung 407, Taiwan, ROC – sequence: 4 givenname: Kuo-Zoo surname: Liang fullname: Liang, Kuo-Zoo organization: Department of Mechanical Engineering, Ching-Yun University, Chungli 320, Taiwan, ROC
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Cites_doi	10.1016/S0098-1354(00)00653-0 10.1109/TMECH.2003.809136 10.1016/S0967-0661(99)00048-9 10.1243/0954409021531683 10.1243/0954409011531440
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Keywords	Evolutionary algorithm Multiobjective programming Rail vehicle Vibration damper N body system Mechanical clearance Passive system Optimization Optimal design Engineering design Design process Vehicle suspension Genetic algorithm Dynamic model
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SubjectTerms	Algorithms Applied sciences Constraints Deflection Design engineering Evolution Exact sciences and technology Fundamental areas of phenomenology (including applications) Machine components Mechanical engineering. Machine design Optimization Physics Rails Springs and dampers Vehicles
Title	Optimal design for passive suspension of a light rail vehicle using constrained multiobjective evolutionary search
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