基于逆动力学模糊规则的单元机组协调控制  

Coordinated control based on inverse dynamic fuzzy rules for power unit

作　　者：陈红[1] 邓良才[1] 王广军[1] 

机构地区：[1]重庆大学动力工程学院,重庆400044

出　　处：《控制与决策》2008年第6期705-708,共4页Control and Decision

基　　金：国家自然科学基金项目(50476041)

摘　　要：通过单元火电机组动态特性分析,获得了一种简单的机组负荷对象逆动力学模型结构.建立了单元机组逆动力学过程模糊规则(IDFR)模型,并利用递推最小二乘辨识方法对机组逆动力学过程模糊规则进行在线修正.将IDFR直接作为控制规则,提出了一种基于IDFR的机组负荷控制方法,构造了单元机组负荷对象协调控制系统.通过仿真实验考察了所提出的控制系统的有效性和适应性.A simple model structure of inverse dynamics of power unit is constructed through analyzing the dYnamic characteristics of the power unit. The inverse dynamic fuzzy rules（IDFR） model of power unit is built and inverse dynamic fuzzy rules are modified on-line by recursive least-square identification algorithm. A control method for power unit is presented based on IDFR and a coordinated control system is constructed by using IDFR as control rules. The simulation results show the effectiveness and adaptability of the control system.

关 键 词：火电机组 逆动力学 协调控制 

分 类 号：TM621.6[电气工程—电力系统及自动化]