Parametric Iterative Learning Control: A Method for Adaptation of Feedforward Control, and Application to Gearshift Control
Parametric Iterative Learning Control: A Method for Adaptation of Feedforward Control, and Application to Gearshift Control
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参数迭代学习控制：前馈控制的自适应方法及其在换档控制中的应用
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
K. Srinivasan
中科院分区：
文献类型：
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作者：
K. Mishra;K. Srinivasan
在这项研究中，参数迭代学习的框架，其基本理念是需要参数化的前馈控制输入的形式的查找表作为功能的反复系统操作的试验变化方面。目前的研究重点是跟踪的试变参考轨迹存在的试变外部干扰。收敛性的理论结果，并提出的参数学习方法进行了验证数值的换档控制器的自适应控制的应用。
A framework for parametric iterative learning is introduced in this study, the underlying philosophy of which entails parameterization of feedforward control inputs in the form of look-up tables as functions of the trial-varying aspects of repetitive system operation. The current study focuses on tracking of a trial-varying reference trajectory in the presence of trial-varying external disturbances. Theoretical results for convergence are presented, and the proposed method of parametric learning is validated numerically for the application of adaptive control of gearshift controllers.