Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44164
標題: An evolutionary approach to active suspension design of rail vehicles
作者: Lin, Y.C.
林俊良
Lin, C.L.
Shieh, N.C.
關鍵字: rail vehicle
active suspension
evolutionary algorithm
optimization
genetic algorithms
期刊/報告no:: Journal of the Chinese Institute of Engineers, Volume 29, Issue 5, Page(s) 909-915.
摘要: This paper presents an application of a constrained multiobjective evolutionary algorithm for the design of active suspension controllers for light rail vehicles with the aim of providing superior ride comfort within the suspension's stroke limitation. A multibody dynamic model of a three-car train is derived and the control parameters are optimized. Force cancellation, skyhook damper, and track-following are used to synthesize the active controller. Selection of the active suspension parameters is aided by an evolutionary computation algorithm to get the best compromise between ride quality and suspension deflections due to irregular gradient tracks. An evolutionary multiobjective optimization approach accompanied with the Pareto set is proposed to deal with the complicated control design problem.
URI: http://hdl.handle.net/11455/44164
ISSN: 0253-3839
文章連結: http://dx.doi.org/10.1080/02533839.2006.9671189
Appears in Collections:電機工程學系所

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