Application of a repetitive process setting to design of monotonically convergent iterative learning control

12th European Workshop on Advanced Control and Diagnosis

Boski, Marcin^1 ; Paszke, Wojciech^2

Faculty of Computer Science, Electrical Engineering and Control Engineering, University of Zielona Góra, ul. Szafrana 2, Zielona Góra

65-516, Poland^1

Institute of Control and Computation Engineering, University of Zielona Góra, ul. Szafrana 2, Zielona Góra

65-516, Poland^2

关键词: Discrete linear systems;    Feed-forward controllers;    Iterative learning control;    Iterative learning control algorithm;    Monotonic convergence;    Output feedback controller;    Prescribed performance;    Theoretical development;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012004/pdf
DOI  :  10.1088/1742-6596/659/1/012004

来源: IOP

【 摘 要 】

This paper deals with the problem of designing an iterative learning control algorithm for discrete linear systems using repetitive process stability theory. The resulting design produces a stabilizing output feedback controller in the time domain and a feedforward controller that guarantees monotonic convergence in the trial-to-trial domain. The results are also extended to limited frequency range design specification. New design procedure is introduced in terms of linear matrix inequality (LMI) representations, which guarantee the prescribed performances of ILC scheme. A simulation example is given to illustrate the theoretical developments.