基于遗传算法的一类越野车前轮摆振控制优化设计

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。

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

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.