基于模糊模型的多变量预测控制算法  

Multivariable Predictive Control AlgorithmBased on Fuzzy Model

作　　者：金晓明[1] 荣冈[1] 王树青[1] 

机构地区：[1]浙江大学工业控制技术国家重点实验室

出　　处：《控制与决策》1998年第4期332-336,共5页Control and Decision

基　　金：国家"九五"攻关项目资助

摘　　要：将模糊模型应用于模型预测控制，提出一种可用于非线性过程控制的模糊模型预测控制算法（ＦＭＰＣ）。模糊模型与单纯形调优的非线性规划方法相结合可获得优化的控制律。仿真结果表明，ＦＭＰＣ可获得良好的控制效果，具有较高的应用价值。A fuzzy model-based predictive control algorithm for solving nonlinear control problems is proposed in this paper. The fuzzy model is used as a multistep predictor of the nonlinear dynamics of the multivariable system, and a nonlinear optimization approach is used to obtain the optimum control law. The proposed algorithm has been applied to CSTR in simulations, and the effectiveness of the algorithm has been shown.

关 键 词：模糊模型 预测控制 多变量预测控制 算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]