基于遗传算法的一类越野车前轮摆振控制优化设计  

Optimum Design of Wheel Shimmy Control for a Kind of Off-road Vehicle Based on Genetic Algorithm

作　　者：车华军[1] 陈南[1] 殷国栋[1] 

机构地区：[1]东南大学机械工程学院,南京210096

出　　处：《中国机械工程》2006年第24期2635-2638,共4页China Mechanical Engineering

基　　金：福特-中国研究与发展基金资助项目(50122153);国家自然科学基金资助项目(50575041);江苏省"十五"科技攻关项目(BE2003013)

摘　　要：以一类越野车为研究对象,建立前轮摆振系统的数学模型。针对该数学模型对全局优化算法———遗传算法进行改进。以受迫摆振幅值最小并避免自激振动为目标,使用改进遗传算法对汽车结构参数进行优化。使用所得优化参数对前轮摆振进行仿真。结果表明,通过优化对抑制摆振取得了较好的效果。A mathematical model for wheel shimmy of off-road vehicle was established. Genetic algorithm, a global optimum algorithm, was used for the problem. Based on the improved algorithm the optimum structure parameters were obtained for minimizing the objective function that was defined as the amplitude of forced shimmy, and at the same time the parametrical conditions to avoid self-excited shimmy had been taken as the constraint conditions of the optimum model. Using these optimized parameters, the wheel shimmy motion was simulated. The simulation results indicate that the optimized structure parameters will reduce the vehicle shimmy amplitude obviously.

关 键 词：前轮摆振 遗传算法 优化 仿真 

分 类 号：U461.6[机械工程—车辆工程]