Chen, Fangmei ; Tao, Hongfeng ; Zhuang, Zhihe ; Paszke, Wojciech (1975- ) ; Stojanovic, Vladimir
Tytuł:Iterative learning control optimization strategy for feedback control systems with varying tasks
Temat i słowa kluczowe:iterative learning control ; feedback control ; parallel structure ; performance optimization ; varying task
Abstract:Iterative learning control (ILC) combined with feedback control is a common approach to repetitive systems with external disturbances, as it enables high tracking performance and guarantees time-domain stability. However, the variation of the reference trajectory in practical repetitive operations often degrades the control performance. ; To this end, this paper develops a feedback-based ILC to transfer the experience of repetitively operating a certain task to a brand new task without restriction on its time duration. This two-dimensional (2-D) design employs a parallel structure, where the ILC and the feedback controller are designed separately to achieve performance optimization. ; Then, the feedback plus feedforward controller is integrated into a new feedback controller with learning-based parameters. The convergence and robustness analysis of the design is given. Finally, numerical simulation experiments of a DC motor position control system verify the proposed scheme`s effectiveness and robustness.
Opis:artykuł zamieszczony w: "Mathematical Modelling and Control", Vol. 5
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