模糊自适应预测控制在电厂主汽温控制中的应用

针对电厂主汽温对象属于非线性系统、难于控制这一问题，基于自适应和最优控制的原理，提出基于T—S模糊模型的预测控制方法。在简要分析了主汽温对象特点的基础上，建立了主汽温对象的T—S模型，并给出了相应的模型参数辨识方法。接着引入预测控制方法，并给出了具体的实现方法和仿真试验结果。试验结果表明该自适应控制算法具有较好的负荷适应性，能满足对主汽温对象的控制要求。

Application of fuzzy self-adapted predictive control to main steam temperature control in power plant

Due to its nonlinearity, it is difficult to control the main steam temperature of power plant. A T - S fuzzy model based predictive control method is proposed, which uses the self-adaptation principle and optimal control. Based on the brief analysis of main steam temperature characteristics, its T - S model is built and the relative parameter identification method is given. The predictive control method is then introduced and the detailed realization scheme is described. The simulative results indicate that the fuzzy self-adaptation predictive control algorithm has good load-adaptability.