MIMO系统的多模型预测控制(英文)  

Multiple Model Predictive Control for MIMO Systems

作　　者：李柠[1] 李少远[1] 席裕庚[1] 

机构地区：[1]上海交通大学自动化研究所,上海200030

出　　处：《自动化学报》2003年第4期516-523,共8页Acta Automatica Sinica

基　　金：NationalNaturalScienceFoundationofP.R.China(6 99340 2 0and 6 0 0 74 0 0 4 )

摘　　要：针对非线性多变量系统提出一种多模型预测控制 (MMPC)策略 .首先给出一种多模型辨识方法 ,利用模糊满意聚类算法将复杂非线性系统划分为若干子系统 ,并获得多个线性模型 ,通过模型变换得出全局系统模型 ,接着对全局MIMO系统设计MMPC ,并进行了系统的性能分析 ,最后以 pH中和过程为例 。A multi model based predictive control (MMPC) strategy dealing with nonlinear model based predictive control (NMPC) for MIMO systems is developed in this paper. Firstly a multi model identification method is given. Using fuzzy satisfactory clustering algorithm presented in this paper, the complex nonlinear system can be quickly divided into multiple fuzzy parts. A global model can be obtained by some transformation of the obtained multiple linear models. An MMPC algorithm is therefore designed for the g...

关 键 词：MIMO系统 多模型 模型预测控制(MPC) 模糊满意聚类 PH中和过程 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]