Application of a repetitive process setting to design of monotonically convergent iterative learning control. (November 2015)

• Record Type: Journal Article
• Authors: Boski, Marcin; Paszke, Wojciech
• Is Part Of: Journal of physics. Number 659(2015)
• Publication Date: 2015-11
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/659/1/012004
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: 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.