计算机技术与发展Issue(8)：238-241,4.DOI:10.3969/j.issn.1673-629X.2014.08.057
基于PSO算法和BP神经网络的PID控制研究
Research of PID Control Based on BP Neural Network and PSO Algorithm
摘要
Abstract
In view of the difficulty of parameters setting of PID control and the limitations of slow convergence and local extreme values of BP algorithm,a new method to adjust weights of BP network is proposed using the global optimization ability and the strong conver-gence by PSO algorithm,so as to optimize the proportional,integral and differential of PID control. The new algorithm is based on the weight adjustments of error back propagation of BP algorithm,making the bats position updating to weight and threshold of BP network modification. The new algorithm can not only use the global optimization of PSO algorithm,but also contain the feature of error back propagation of BP algorithm. Experimental results show that the PID optimization control based on BP neural network has better perform-ance and self learning and adaptive.关键词
PID控制/BP神经网络/PSO算法Key words
PID control/BP neural network/PSO algorithm分类
信息技术与安全科学引用本文复制引用
段艳明..基于PSO算法和BP神经网络的PID控制研究[J].计算机技术与发展,2014,(8):238-241,4.基金项目
广西教育科研基金项目(201106LX577,201106LX604) （201106LX577,201106LX604）
河池学院引进人才科研启动项目(2011QS-N001) （2011QS-N001）
河池学院青年科研课题(2012B-N005,2012B-N007) （2012B-N005,2012B-N007）
