燕山大学学报2017，Vol.41Issue(3)：246-252,7.DOI:10.3969/j.issn.1007-791X.2017.03.008
基于粒子群算法的液压APC系统分数阶PID控制器设计
Optimal fractional order PID control of hydraulic APC system based on particle swarm optimization
摘要
Abstract
For controlling the complicated nonlinear system effectively, the fractional order PID neural network controller is proposed based on particle swarm ( PSO) algorithm in this paper. The controller, combined with fractional order PID control and BP neural network and PSO algorithm, uses the BP neural network to set the fractional order PID controller′s parameters online and utilize PSO algorithm with two variation mechanism instead of back propagation algorithm in network training, to avoid the slow convergence speed, falling into local optimum easily and computing complex faults.The result of simulation shows that the fractional order PID neural network controller based on PSO algorithm could control the nonlinear systems effectively, moreover, control effect is better than that of neural network adaptive PID controller and neural network adaptive PID controller based on PSO optimization BP PID.关键词
液压伺服控制系统/分数阶PID/粒子群算法/网络优化Key words
hydraulic servo control system/fractional order PID/particle swarm algorithm/network structure and parameter optimization分类
信息技术与安全科学引用本文复制引用
魏立新,王浩,王铁兴..基于粒子群算法的液压APC系统分数阶PID控制器设计[J].燕山大学学报,2017,41(3):246-252,7.基金项目
河北省自然科学基金资助项目( F2016203249) （ F2016203249）
河北省高等学校创新团队领军人才培育计划资助项目( LJRC013) （ LJRC013）
