Application of PID with Single-Neuron Adaptive Control in Liquid Level Control

As the liquid position control system has the characteristic of a large time delay, instability and non-linear, a neural network self-adaptive PID controller based on self-adaptive PID and neural network is introduced in this paper, it can optimize and adjust the controller parameters on line. The system simulation is carried out in the end. The simulation results show that the control effect of this method has good dynamic performance, robustness and good practicality.