Application of Improved Fuzzy Neural Network PID Algorithms in Pressure Control of Flash Tank

Abstract

Based on the research of particle swarm optimization, fuzzy neural network (FNN) and PID algorithm, this paper presents a solution to apply the improved fuzzy neural network PID algorithm to the pressure control system of flash tank. Particle swarm optimization is used to optimize the initial weights of the fuzzy neural network offline. The optimal weights of the fuzzy neural network are obtained to tune the PID parameters on-line and realize the real-time pressure control of the flash tank. The simulation results show that the improved Fuzzy Neural Network PID algorithm has shorter adjustment time, faster response and less overshoot than other advanced PID algorithms, and the control effect is better. There has been a great improvement in both speed and speed.