Aiming at the problem that the traditional PID controllers in the raw water treatment system have the disadvantages of overshoot and low steady-state precision for the water level control of the V-type filter tank

this study designs the adaptive PID control algorithm of the neural network.The BP network is used to realize the selftuning of PID parameters.The RBF neural network is applied to identify the controlled objects

and the neural network adaptive PID control algorithm is implemented on the Compact Logix series PLC.This algorithm is applied for the water level control of the V-type filter tank in the raw water pre-treatment system.The actual control results show that the neural network adaptive PID control algorithm has high control precision and good robustness

which greatly improves the water quality of the raw water treatment system.