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

摘要：

　　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.

关键词： Improved particle swarm optimization Fuzzy neural network PID controller Flash tank

作者: Zong-zheng CHENG Yi-ping SHI Chen-yue LV Jin-li ZHANG

作者单位: School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,No.333 of Longteng Road,Shanghai,201620,China

会议类型: 国际会议

会议名称: 2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

会议地点: 上海

会议语种:英文

页码: 94-99

在线出版日期: 2019-06-16（万方平台首次上网日期，不代表论文的发表时间）