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基于粒子群优化的混合模型预测控制研究
引用本文:高鹏,刘浩然,郝晓辰,郭峰,史鑫.基于粒子群优化的混合模型预测控制研究[J].机电工程,2011,28(2):231-234.
作者姓名:高鹏  刘浩然  郝晓辰  郭峰  史鑫
作者单位:燕山大学电气工程学院,河北,秦皇岛,066004
摘    要:为解决复杂非线性系统的控制精度不高,稳定性难于保证等问题、将预测控制技术应用于非线性控制中,提出了一种基于粒子群优化和混合模型的预测控制算法.混合模型预测控制算法使用模糊聚类和最小二乘法建立了系统的复合模犁,由带压缩因子的粒子群算法优化获得了非线性控制系统的控制量,在非线性模型上对模糊预测控制算法和混合模型预测控制算法...

关 键 词:非线性系统  混合模型预测控制  模糊神经网络  最小二乘法  粒子群

Hybrid model predictive control of nonlinear system based on PSO
GAO Peng,LIU Hao-ran,HAO Xiao-chen,GUO Feng,SHI Xin.Hybrid model predictive control of nonlinear system based on PSO[J].Mechanical & Electrical Engineering Magazine,2011,28(2):231-234.
Authors:GAO Peng  LIU Hao-ran  HAO Xiao-chen  GUO Feng  SHI Xin
Affiliation:GAO Peng,LIU Hao-ran,HAO Xiao-chen,GUO Feng,SHI Xin(Institute of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China)
Abstract:In order to solve the problems of control accuracy is not high and stability is difficult to guarantee in complex nonlinear system,a hybrid model predictive control algorithm based on swarm optimization was introduced to nonlinear system.Fuzzy clustering and least squares method were used to set up the hybrid model,and the control values of nonlinear control systems were computed with the particle swarm optimization algorithm with compress factor.Fuzzy predictive control algorithm and hybrid model predictiv...
Keywords:nonlinear system  hybrid model predictive control  ANFIS  least squares  particle swarm optimization  
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