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饱和约束系统的鲁棒模型预测控制
引用本文:李志军,刘吉臻,谭文.饱和约束系统的鲁棒模型预测控制[J].控制与决策,2006,21(6):641-645.
作者姓名:李志军  刘吉臻  谭文
作者单位:1. 北方工业大学,机电工程学院,北京,100041
2. 华北电力大学,自动化系,北京,102206
摘    要:针对饱和约束系统提出了一种鲁棒模型预测控制算法,分别考虑了多面体不确定性和结构反馈不确定性.考虑无穷时域的最坏二次性能指标,通过采用带有饱和特性的反馈控制结构,将控制律的求解转化为一个在线的线性矩阵不等式优化问题.初始时刻优化问题的可行性保证了闭环控制系统的鲁棒稳定性.最后的仿真结果说明了算法的优越性.

关 键 词:鲁棒模型预测控制  模型不确定性  线性矩阵不等式  饱和
文章编号:1001-0920(2006)06-0641-05
收稿时间:2005-04-25
修稿时间:2005-09-20

Robust Model Predictive Control for Saturated Systems
LI Zhi-jun,LIU Ji-zhen,TAN Wen.Robust Model Predictive Control for Saturated Systems[J].Control and Decision,2006,21(6):641-645.
Authors:LI Zhi-jun  LIU Ji-zhen  TAN Wen
Affiliation:1. College of Electromechnically Engineering, North China University of Technology, Beijing 100041, China; 2. Department of Automation, North China Electric Power University, Beijing 102206, China.
Abstract:A robust model predictive control algorithm for saturated systems is proposed,in which polytopic uncertainty and structure feedback uncertainty are respectively considered.An infinite horizon worst-case quadratic function is considered as performance objective.By using a saturated feedback control structure,the control law is obtained by solving a linear matrix inequality(LMI) optimization problem on-line.The feasibility of optimization problem at the original time implies robust stability of the closed-loop system.
Keywords:Robust model predictive control  Model uncertainty  Linear matrix inequality  Saturation
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