基于T-S模糊建模的广义预测控制系统在热工过程中的应用

The Application of Generalized Predictive Control System Based on T-S Fuzzy Modeling in Thermal Process

由于过热汽温系统具有大惯性、大迟延和时变性的特性,传统的PID串级控制策略很难达到理想的控制效果。因此,本文被控对象的模型利用基于模糊聚类算法的T-S建模法,并利用广义预测控制算法对过热汽温系统进行控制。针对该算法在火电厂过热汽温控制系统中进行了仿真,仿真结果表明,该算法较常规PID控制方法具有更好的控制性能。

The traditional PID cascade control strategy is difficult to achieve the ideal control effect because of the characteristics of large inertia,large delay and time-varying.Therefore,the model of the controlled object in this paper uses the T-S modeling method based on fuzzy clustering and the GPC algorithm to control the superheated steam temperature system.And the simulation results show that the algorithm has better control performance than PID control.