多变量模糊自校正控制器及其应用

A Multivariable Fuzzy Self-Tuning Controller and Its Application

本文介绍了表达MISO动态系统的模糊模型,并提出了有关参数和结构的在线辨识算法,根据辨识的模糊模型,利用Clarke的单变量广义预测控制(GPC)原理设计了多变量模糊自校正控制器,仿真研究表明,该模糊自校正控制方法应用于火电机组负荷系统的控制,可以收到良好的效果。

This paper presents a fuzzy model expressed MISO dynamic systems as well as an on-line identification algorithm to its paramentero and structures. A multivariable fuzzy self-tuning controller based on fuzzy model is designed by the principle of single-variable generalized predictive control. A simulation study shows that the fuzzy self-tuning controller is very effective for the control of power generating unit load system.