纯滞后过程模糊预测控制研究  

Research on pure-delay process of fuzzy predictive control

作　　者：李祖林[1] 曹才开[1] 

机构地区：[1]湖南工学院电气与信息工程系,湖南衡阳421002

出　　处：《自动化与仪器仪表》2009年第4期8-10,共3页Automation & Instrumentation

基　　金：湖南省教育厅青年基金项目(项目编号:06B19)

摘　　要：针对复杂工业过程控制,提出一种基于T-S模糊模型的预测控制方法,从参考轨迹和可测的过程变量提取特征信息,并利用最优控制理论,构成了具有模糊模型的纯滞后预测控制系统。经过跟踪调节和定值干扰调节实验仿真,仿真结果表明基于T-S模糊模型的预测控制方法的有效性和可行性,系统的跟踪效果良好,调节品质优于单纯的线性调节器。Aimed at complex industry process control, A new predictive control approach based on T-S fuzzy model is developed. Obtained characteristic information by using reference trace and measurable process variable, In terms of optimal control theory, Puredelay predictive control system is constructed with fuzzy model. According to tracking adjustment simulation and set-point values disturbances adjustment simulation, The results show that the predictive control approach is effective and feasible based on T-S fuzzy model. It is verified that the system has good tracking result and adjustment quality is obviously better than pure linear conditioner.

关 键 词：模糊模型 预测控制 纯滞后过程 特征变量 调节品质 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TN431.2[自动化与计算机技术—控制科学与工程]