An iterative learning control algorithm based on time varying pilot factor. (April 2019)

• Record Type: Journal Article
• Authors: Huang, Jing; Xu, Zhenxiang; Li, Guoxiu; Qiu, Cheng; Huang, Haitao
• Is Part Of: Journal of vibration and control. Volume 25:Number 8(2019)
• Page Start: 1484
• Page End: 1491
• Publication Date: 2019-04
• Subjects: Iterative learning control -- the initial state issue -- hydraulic servo control -- control applications -- vibration; Vibration -- Periodicals; Damping (Mechanics) -- Periodicals; 620.3
• DOI: 10.1177/1077546318822369
• Languages: English
• ISSNs: 1077-5463

Abstract

Owing to the control system being repetitive and nonlinear, a time-varying pilot factor control algorithm based on iterative learning control is proposed. The convergence of the TPF-ILC control algorithm is mathematically proven and the sufficient conditions are given. Thereafter, the initial state issue of iterative learning is explored, which is the critical issue of iterative learning control. The convergence of the system's control error and the initial state of every single period have been mathematically proved by using continuous and repetitive properties of the system, even if the initial states of every single iterative learning period are not strictly the same. At the end of this paper, the TPF-ILC algorithm is applied in a hydraulic servo control system, and experimental results indicate the effectiveness and practicability of the TPF-ILC algorithm.