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基于状态观测器的约束鲁棒模型预测控制
引用本文:武俊峰,王振英.基于状态观测器的约束鲁棒模型预测控制[J].计算技术与自动化,2005,24(2):7-9.
作者姓名:武俊峰  王振英
作者单位:哈尔滨理工大学计算机与控制学院,黑龙江,哈尔滨,150080
基金项目:黑龙江省自然科学基金资助项目(编号F01-26)
摘    要:模型不确定情况下的鲁棒问题是模型预测控制的一个根本问题。本文采用线性矩阵不等式(LMI),研究多模型不确定性描述情况下的鲁棒模型预测控制问题。在输入输出约束条件下,最小化最坏情况下的无穷时域目标函数,获得保证系统稳定的基于状态观测器的状态反馈增益并且给出观测器增益的设计方法。实例说明算法可行且保证闭环系统渐近稳定。

关 键 词:模型预测控制  线性矩阵不等式  状态观测器
文章编号:1003-6199(2005)02-0007-03
修稿时间:2004年8月9日

Constrained Robust Model Predictive Control Based on State Estimator
WU Jun-feng,WANG Zhen-ying.Constrained Robust Model Predictive Control Based on State Estimator[J].Computing Technology and Automation,2005,24(2):7-9.
Authors:WU Jun-feng  WANG Zhen-ying
Abstract:A fundamental question about model predictive control is robustness in conduction of model uncertainty. In this paper, the robust model predictive control system of polytopic uncertainty was studied by using linear matrix inequalities (LMI). The state feedback gain was acquired by minimizing an infinite horizon objective function based on state estimator,subject to constraints on the control input and plant output, and a designing approach to the estimator gain was given. and its feasibility of the controller design and the asymptotically stable of the closed-loop system is illustrated with a example.
Keywords:model predictive control  linear matrix inequalities  state estimator
本文献已被 CNKI 维普 万方数据 等数据库收录!
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