基于改进遗传算法的车辆转向机构优化与误差仿真

摘要

Aiming at the error of the steering mechanism movement in the high-speed driving process,the improved genetic algorithm is adopted to optimize the vehicle steering mechanism.A diagram model of vehicle steering mechanism is established to establish the geometric relations of the inner wheel angle.Structural optimization objective function is adopted to optimize the constraint parameters of vehicle steering mechanism by improving genetic algorithm.The optimized parameters are entered into the Matlab software to simulate the internal front wheel corner error simulation,and compare and analyze the simulation results before optimization.The simulation results show that the vehicle in the process of high speed,the maximum error of the vehicle in front wheel corner before optimization is 0.45°,and optimized the vehicle in front wheel angle of maximum error is 0.31°,the relative error was reduced by 31.1％.The improved genetic algorithm is used to optimize the steering mechanism of the vehicle,which can improve the accuracy of the front wheels in the vehicle and improve the safety of the vehicle's high-speed steering.%针对车辆在高速行驶过程中的转向机构运动轨迹存在误差较大问题,采用改进遗传算法对车辆转向机构进行优化.创建车辆转向机构简图模型,建立内前轮转角的几何关系式.构造优化目标函数,采用改进遗传算法对车辆转向机构约束参数进行优化.将优化后的参数输入到Matlab软件中进行内前轮转角误差仿真,并且与优化前仿真结果进行比较和分析.仿真结果显示,车辆在高速行驶过程中,优化前的车辆内前轮转角最大误差为0.456,而优化后的车辆内前轮转角最大误差为0.31°,相对误差降低了31.1％.采用改进遗传算法优化车辆转向机构,可以提高车辆内前轮转角精度,从而提高车辆在高速转向时的安全性.