摘要
以多体系统动力学理论为基础,应用机械系统动力学仿真软件建立某轿车麦弗逊式前悬架模型,联合多目标/多参数优化软件工具对悬架的结构应用遗传算法进行优化,得出在工程可行性约束条件下的悬架优化布置方案,以提高悬架性能.最后,利用悬架台架试验对优化结果进行验证,证明了优化方法和结果的正确性,表明多目标/多参数的优化方法对于改善汽车悬架系统性能是一种行之有效的方法.
Based on the theory of multi-body system dynamics, the front McPherson suspension of a car is modeled with the dynamics software of mechanical systems, and the structure of the suspension is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal layout of the suspension hardpoints under the engineering constraint conditions for improving the suspension performance. Test results of the optimized suspension on a test rig show that the optimization is correct, and that the proposed muhiobjective/multi-parameter optimization method is effective in improving the suspension performance of a vehicle.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第7期85-89,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
高等学校博士学科点专项科研基金资助项目(20070561020)
关键词
悬架
多目标优化
遗传算法
几何设计
vehicle suspension
multi-objective optimization
genetic algorithm
geometric design
