基于遗传算法PID控制的ATO速度控制器设计

针对传统PID控制在城轨列车ATO速度控制过程分析,发现传统PID控制列车速度波动过于频繁,列车的运行速度曲线不够光滑,使得能量消耗较多,且影响乘客的舒适性。在传统PID控制基础上利用遗传算法对PID控制进行改进,提出一种基于遗传算法改进PID的速度控制算法。结果表明:通过遗传算法改进PID学习速率和比例系数以及优化列车运行中工况转换点,可以使得列车在运行中能较好地保证舒适性、准时性和节能性。

In view of the traditional PID control analysis of ATO speed control in urban rail transit,it is found that the speed of traditional PID control train fluctuates too frequently and the running speed curve of the train is not smooth enough,which causes more energy consumption and affects passenger comfort.On the basis of traditional PID control,genetic algorithm is used to improve PID control,and a speed control algorithm based on genetic algorithm is proposed to improve PID.