基于蚁群算法优化的EPS系统PID控制

A study of EPS based on ant colony optimization PID control

汽车电动助力转向系统是一个非线性时变的复杂系统,在对它进行控制时,单独采用常规PID控制难以达到平稳准确的效果,在此加入蚁群算法(ACO)对其进行优化而得到稳定的最优参数解.根据车辆动力学关系,建立了两自由度整车模型、电动助力转向系统模型以及带有蚁群算法优化的PID控制器模型.通过Matlab,对该模型进行仿真分析.仿真结果表明,蚁群算法和PID控制的结合,使系统控制更精确、运行更加平稳.

EPS is a nonlinear time-varying system,when the EPS system controlled just by normal PID control algorithm,the effect is not stable.Ant colony optimization is used to optimize the parameters of PID,so that the results are excellent.According to vehicle dynamics,the models of two free degrees vehicle,EPS system and ACO-PID controller are established.Then,models are simulated in Matlab.The results show that combination of ACO and PID control makes the EPS system work more accurately and steadily.