摘要
提出了一种鲁棒最优迭代控制器的设计方法 .对于任意有界的参考输出和不确定的初始值 ,建立了由最优迭代学习控制器保证闭环系统有界输入有界输出 (BIBO)鲁棒稳定性的充要条件 .实际应用中可根据不确定初始设定值和干扰对加权矩阵进行调整 ,从而保证闭环系统性能随迭代过程的进行而得到改进 .在注塑机控制中的应用验证了本文结论的有效性 .
A design of robust iterative learning controller is presented. A sufficient and necessary condition to ensure robust BIBO (bounded-input bounded-output) stability is derived for the optimal iterative learning controllers when tracking arbitrary bounded output. A practical scheme of selecting weighting matrices is proposed for the process with uncertain initial resetting and disturbances to ensure improvement of system performance from batch to batch. An application to the injection molding control is given to demonstrate the effectiveness of the proposed results.
出处
《自动化学报》
EI
CSCD
北大核心
2003年第1期72-79,共8页
Acta Automatica Sinica
基金
SupportedinpartbytheStateScienceandTechnologyPursuitProject (2 0 0 1BA2 0 4B0 1)andtheFoundationforUniversityKeyTeachersbytheMinistryofEducationofP .R .China .Thepaperwaspresentedatthe 2 0 thChinaControlConferenceinAugust2 0 0 1,Dalian,P .R .Chin
关键词
最优迭代学习控制
鲁棒稳定性
注塑机
控制
控制器
Injection molding
Learning systems
Optimal control systems
Robustness (control systems)
Stability
