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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Published in:Journal of sound and vibration Vol. 285; no. 1; pp. 407 - 424
Main Authors: Shieh, Niahn-Chung, Lin, Chun-Liang, Lin, Yu-Chen, Liang, Kuo-Zoo
Format: Journal Article
Language:English
Published: London Elsevier Ltd 06.07.2005
Elsevier
Subjects:
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
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  givenname: Yu-Chen
  surname: Lin
  fullname: Lin, Yu-Chen
  organization: Institute of Automatic Control Engineering, Feng Chia University, Taichung 407, Taiwan, ROC
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  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
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Issue 1
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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