引用本文:王超,张胜修,秦伟伟,郑建飞.具有自适应噪声边界的Tube可达集鲁棒预测控制[J].控制理论与应用,2014,31(1):11~18.[点击复制]
WANG Chao,ZHANG Sheng-xiu,QIN Wei-wei,ZHENG Jian-fei.Tube-reachable set-based robust model predictive control with adaptive disturbances boundaries[J].Control Theory and Technology,2014,31(1):11~18.[点击复制]
具有自适应噪声边界的Tube可达集鲁棒预测控制
Tube-reachable set-based robust model predictive control with adaptive disturbances boundaries
摘要点击 2485  全文点击 2392  投稿时间:2013-04-21  修订日期:2013-07-16
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DOI编号  10.7641/CTA.2014.30364
  2014,31(1):11-18
中文关键词  鲁棒模型预测控制  集员滤波  参数定界  可达集  多面体不变集
英文关键词  robust model predictive control  set-membership filter  parameter determination  reachable set  polytopic invariant set
基金项目  国家自然科学基金资助项目(61203354)
作者单位E-mail
王超* 第二炮兵工程大学 dieche1218@sina.com 
张胜修 第二炮兵工程大学自动控制工程系  
秦伟伟 第二炮兵工程大学自动控制工程系  
郑建飞 第二炮兵工程大学自动控制工程系  
中文摘要
      针对过程噪声设定边界与真实噪声边界失配的有界干扰离散线性不确定系统, 提出一种具有自适应噪声边界的Tube可达集鲁棒模型预测控制方法. 首先, 该算法引入基于MIT规则的自适应集员滤波在线估计系统状态和噪声边界. 其次, 基于估计值, 通过迭代自适应集员滤波的时间更新部分计算出预测时域内闭环不确定系统状态的可达集. 最后, 用可达集代替不变集并根据Tube鲁棒模型预测控制策略, 给出了实际不确定系统的控制律, 确保系统状态鲁棒渐近稳定, 并收敛于终端干扰不变集. 仿真结果验证了该控制方法的有效性.
英文摘要
      FFor a discrete-time linear uncertain system with bounded disturbances but mismatch between the real process noise boundary and its setting boundary, we present a tube-reachable set-based robust model predictive control (RMPC) with adaptive disturbances boundaries. Firstly, an MIT-based adaptive set-membership filter (MIT-ASMF) is introduced to estimate the states and the boundaries of the process noise in real time. Secondly, based on the estimated results, the reachable sets of the local uncertain closed-loop system are calculated by propagating the prediction step of the ASMF along the prediction horizon. Finally, by replacing the invariant set with previously determined reachable sets in the tube-based RMPC formulation, we determine the control law for the real uncertain system to guarantee the real uncertain system of robustly asymptotic stability and the convergence to the terminal disturbance invariant set. The simulation results validate the efficacy of the proposed method.