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Predictive Variable Gain Iterative Learning Control for PMSM
Joint Authors
Xu, Huimin
Zhang, Xuedong
Liu, Xiangjie
Source
Journal of Control Science and Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
A predictive variable gain strategy in iterative learning control (ILC) is introduced.
Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking.
A scheme based on predictive variable gain iterative learning control for eliminating undesirable vibrations of PMSM system is proposed.
The basic idea is that undesirable vibrations of PMSM system are eliminated from two aspects of iterative domain and time domain.
The predictive method is utilized to determine the learning gain in the ILC algorithm.
Compression mapping principle is used to prove the convergence of the algorithm.
Simulation results demonstrate that the predictive variable gain is superior to constant gain and other variable gains.
American Psychological Association (APA)
Xu, Huimin& Zhang, Xuedong& Liu, Xiangjie. 2015. Predictive Variable Gain Iterative Learning Control for PMSM. Journal of Control Science and Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1067767
Modern Language Association (MLA)
Xu, Huimin…[et al.]. Predictive Variable Gain Iterative Learning Control for PMSM. Journal of Control Science and Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1067767
American Medical Association (AMA)
Xu, Huimin& Zhang, Xuedong& Liu, Xiangjie. Predictive Variable Gain Iterative Learning Control for PMSM. Journal of Control Science and Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1067767
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067767