Disturbance observer based iterative learning control method for a class of systems subject to mismatched disturbances. (November 2017)

• Record Type: Journal Article
• Authors: Sun, Jiankun; Li, Shihua
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 39:Number 11(2017)
• Page Start: 1749
• Page End: 1760
• Publication Date: 2017-11
• Subjects: Iterative learning control -- disturbance observer -- mismatched disturbance rejection -- PMSM; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/0142331216645173
• Languages: English
• ISSNs: 0142-3312

Abstract

This paper develops a systematic iterative learning control (ILC) strategy for systems with mismatched disturbances. The systems with mismatched disturbances are more general and widely exist in practical engineering, where the standard disturbance observer based ILC method is no longer available. To this end, this note proposes a novel ILC scheme based on the disturbance observer, which consists of two parts: a baseline ILC term for stabilizing the nominal system and a disturbance compensation term for attenuating mismatched disturbances by choosing an appropriate compensation gain. It is proven that the performance of the closed-loop system is effectively improved. Finally, the simulation analysis for a permanent-magnet synchronous motor servo system demonstrates the feasibility and efficacy of the proposed method.