免疫遗传PID汽车纯机械转向系统参数优化

Parameter Optimization of Automobile Mechanical Steering System Based on Immune Genetic PID Algorithm

以免疫反馈机理和遗传PID算法为基础,提出了一种免疫遗传PID算法.该算法的核心是将免疫反馈机理和遗传算法结合,并以ITAE性能准则为目标函数;将该算法用于汽车纯机械转向系统PID参数优化的过程中,并用Matlab仿真实验.仿真结果表明:基于免疫反馈机理和遗传算法的PID参数优化可以有效地提高汽车转向柱转角跟随转向盘转角的速度,缩短滞后时间,且使汽车机械转向系统具有较好的稳定性,其结果可为汽车电动助力转向系统的参数优化提供理论依据.

Based on the immune feedback mechanism and genetic PID algorithm,immune genetic PID algorithm is presented in this paper.The algorithm is combined with immune feedback mechanism and the genetic PID algorithm,and uses ITAE performance criterion as the objective function.The algorithm is used to optimize PID control parameter of automobile mechanical steering.By using Matlab platform,the automobile mechanical steering system signal responses are given in this paper.The simulation results show that the algorithm can effectively improve response speed of steering column angle tracking the steering wheel angle and shorten lag time.And automobile mechanical steering system can gain better stable performance.The research results provide a theoretical basis for parameter optimization of electric power steering system.