火电单元机组负荷模糊内模控制及其仿真研究

FUZZY INTERNAL MODEL CONTROL ON THE LOAD SYSTEM OF A THERMAL POWER UNIT AND ITS SIMULATING STUDY

内模控制是近十几年来发展起来的一种新型控制方法。实现内模控制的关键是模型求逆。该文提出一种基于系统T-S模糊模型的模糊内模控制方法。该方法首先利用快速辨识算法获取系统的T-S模糊模型,然后通过适当变形,把模糊模型求逆问题简单的转化为求解线性方程组,并将遗传算法应用于涉及的多个滤波器参数的寻优。该方法被用于火电单元机组负荷控制系统,仿真结果表明该方法是有效的。

Internal model control(IMC) is a new controlmethod developed in the past decade. How to acquire theinversion model of a system is its key problem. Based on the T-S fuzzy model, this paper proposes a new fuzzy internalmodel control strategy. Firstly, a fast identification algorithm is employed to get the T-S fuzzy model of a system, then theproblem to acquire the inversion fuzzy model is converted tosolve simultaneous linear equations through some trans-formation simply. GA is adopted to optimize theparameters of filters within the IMC structure. At the end, the proposed method is applied to the simulation of the load control system of a power plant. Simulation results demonstrate itsefficiency.