BP+RNN变速积分PID算法的汽车底盘测功机控制系统

高精度的PID控制算法对汽车底盘测功机运行过程中的实时控制具有重要的作用,为此提出了一种面向汽车底盘测功机的BP+RNN变速积分PID算法控制系统:引入RNN加入时序性因素整定积分项参数,利用BP神经网络整定比例项与微分项参数,使用变速积分PID算法作为其控制方法。实验结果表明该PID控制系统不但能够快速整定PID参数(10个控制周期以内),同时还保证控制超调量在目标值的2%以内。与传统的增量式PID算法控制相比,BP+RNN变速积分PID算法控制系统的参数整定简单快速,消除了静态误差,使汽车底盘测功机的控制性能得到大幅改善。

Control System of BP+RNN Variable Speed Integral PID Algorithm for Automobile Chassis Dynamometer

The PID control algorithm with high precision plays a vital role in the real-time control of automobile chassis dynamometer,so presenting a BP+RNN variable speed integral PID algorithm control system for automobile chassis dynamometer:RNN is introduced to add timing factors to set integral term parameter,and BP neural network is used to set proportional term and differential term parameters,and variable speed integral PID algorithm is used as its control method.Experimental results show that the PID control system can not only quickly adjust the PID parameters(within 10 control cycles),but also ensure the control overshoot within 2%of the target value.Compared with the traditional incremental PID algorithm control,the parameters setting of BP+RNN variable speed integral PID algorithm control system is simple and fast,the static error is eliminated,and the control performance of automobile chassis dynamometer is improved greatly.