基于FGPC的单元机组协调控制系统研究  

Research of Coordinated Control System Based on Fuzzy Generalized Predictive Control

作　　者：陈立军[1] 崔锐[1] 刘保瑞[1] 马春林[1] 

机构地区：[1]东北电力大学自动化工程学院,吉林吉林132012

出　　处：《化工自动化及仪表》2013年第3期342-345,共4页Control and Instruments in Chemical Industry

摘　　要：针对单元机组的大迟延、强耦合、参数时变且不确定性的特点,将T-S模糊模型引入预测控制中,作为预测模型。首先,用改进的模糊C-均值聚类算法和随机牛顿法辨识得到非线性系统的T-S模型;然后基于线性化后的系统模型设计模糊广义预测控制器,并对非线性对象进行在线控制。仿真结果表明:FGPC对于时变的非线性系统具有很好的控制效果。Considering the large delay, strong coupling, time-varying parameters and uncertainty of the coor- dinated control system, the T-S fuzzy model was introduced into the predictive control, in which, the improved fuzzy C-means clustering algorithm and stochastic Newton algorithm were employed to obtain a nonlinear T-S model, and then to have a fuzzy generalized predictive controller designed based on the linear system model so as to implement the on-line control of nonlinear objects. The simulation results prove the FGPC＇ s sound con- trol effect on the time-varying nonlinear systems.

关 键 词：T-S模糊模型 模糊聚类 多变量广义预测控制 

分 类 号：TH868[机械工程—仪器科学与技术]