【摘要】 为减小悬架参数在车轮跳动过程中的变化量,以改善整车的操纵稳定性,提出一种基于多岛遗传算法进行麦弗逊悬架参数优化设计的方法。以某款轿车麦弗逊式前悬架为研究对象,基于Matlab/Simulink构建了前悬架动力学分析的数学模型,并通过相应Adams模型的仿真分析对数学模型的可靠性进行验证。在此基础上,通过扰动法分析得到悬架性能受结构参数的影响程度;通过具体分析灵敏度大小,可获取对刚度特性影响最灵敏的参数。最后运用多岛遗传算法对参数的优化,从而实现悬架性能的优化。更多还原

【Abstract】 In order to reduce the change of suspension parameters during wheel jumping, and to improve the handling stability of vehicle, a method based on multi island genetic algorithm for parameter optimization design of Mcpherson suspension was proposed. With a car Mcpherson front suspension as the object of study, the mathematical model of dynamic analysis of front suspension was built based on Matlab/Simulink, and the reliability of the mathematical model was verified by simulation analysis of corresponding Adams model. On this basis, the influence of structural parameters on suspension performance is obtained by perturbation analysis. By analyzing the sensitivity, the most sensitive parameters can be obtained. Finally, the multi-island genetic algorithm is applied to modify the parameters so as to optimize the performance of the suspension.更多还原