Optimal Active Suspension Design of Rail Vehicles using Evolutionary Approach

摘要

This paper deals with the design of active vehicle suspension controller for light rail vehicles aimed at providing superior ride comfort and improving handling performance within the suspension stroke limitation. A multibody dynamic model of a three-car train is set up and the control parameters are optimized. Force cancellation, skyhook damper, and track-following concepts are used to synthesize the active controller. Selection of the active suspension parameters is aided by an evolutionary computation algorithm to get the compromise between ride quality and suspension deflections due to irregular gradient tracks. We also propose a mixed gradient and evolutionary multiobjective optimization approach to determine the parameters of active vehicle suspension controllers.