WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 10, 2015
Parameter Optimization of Automotive Suspension System Based on Particle Swarm Algorithm
Authors: , ,
Abstract: In this paper, the dynamic model of suspension system and road incentive model are established. The transfer functions of the parameters for the suspension system are derived, and they are quantized objectively. Then, taking the body vibration acceleration as the objective function, the suspension dynamic deflection and tire dynamic load as the main constraint condition, and the stiffness and damping of the front and rear suspension as optimization variables, the suspension is optimized with a particle swarm optimization algorithm, whose results are compared with the neighborhood transfer genetic algorithm. The optimization results show that the vehicle vibration acceleration is significantly reduced after optimization, and the riding comfort of vehicle and comfort of occupant are improved effectively.
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Pages: 608-615
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 10, 2015, Art. #66