Optimal Suspension Design of Light RailVehicles Using Evolutionary Computation Approaches

• Main Authors: Yu-Chen Lin, 林昱成
• Other Authors: Chun-Liang Lin
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/03451791690044025621

碩士 === 逢甲大學 === 自動控制工程所 === 93 === This thesis studies dynamic behavior and structure vibration control of a three compartments light rail vehicle (LRV) shuttle. We propose a systematic and effective optimization process for the design of vertical passive suspension and active suspension controller of LRVs using new constrained multiobjective evolution algorithms. First, a multibody dynamic model of a three-carriage-train is presented; suspension spring and damping parameters of the passive suspension are optimally designed. Second, this approach is concerned with the design of an active vehicle suspension controller for LRVs with the aim to provide superior ride comfort and improve handling performance. Force cancellation, skyhook damper, and track-following concepts are used to synthesize the active controller. Selection of the 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. With regard to the active suspension design, we propose a mixed gradient and evolutionary multiobjective optimization approach to determine the parameters of active vehicle suspension controllers, is addition to the suspension traveling limitation, where maximum disturbance rejection and robust stability are treated as additional constraints. Furthermore, a mixed approach accompanied with the Pareto set and variable weights are developed to deal with the complicated control design problem. Extensive simulations are well performed to verify the proposed design scheme.