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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 robust iterative optimal controller design method is proposed. For any bounded reference output and uncertain initial value, the optimal iterative learning controller is used to ensure that the closed-loop system bounded input bounded output (BIBO) Necessary and sufficient condition of robust stability.In practical applications, the weighting matrix can be adjusted according to the uncertain initial setting value and interference, so as to ensure the closed-loop system performance is improved with the iterative process. The validity of the conclusion of this paper.