Research on PID control based on BP neural network and its application

BP (Back-propagation) neural network and conventional PID (Piping and Instrument Diagram) control combined. A PID control strategy of self-adjusting parameter brought forward. It solved the problems of the parameter certain complex and large computational quantity and realizes online adjustment PID parameters. According to control characteristic of PH value adjustment links in sewage treatment system, BP network training arithmetic and the corresponding control arithmetic designed. Experimental results show that the sewage treatment system of PID control based on BP neural network has these characteristics such as fast response, high steady-state accuracy and strong robustness and so on.