Research on Control System for Sluice Gate Flow Based on Fuzzy Neural Network PID

摘要

The control of water level and flow for channel irrigation system has nonlinear, time-varying and uncertainty characteristics. It is difficult to get satisfactory effect with traditional PID control. Aim at these features, this paper introduces a control method based on fuzzy neural network PID. This method both has advantage of PID control and has ability of fuzzy neural network self-learning and processing quantitative data. The control method can adjust the parameters of gate flow on-line quickly and efficiently and has good control effect and precision. The simulation results show the validity and correctness of the control method.