基于FGPC的单元机组协调控制系统研究

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一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。

Research of Coordinated Control System Based on Fuzzy Generalized Predictive Control

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.