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Design of Contour Error Coupling Controller Based on Neural Network Friction Compensation
Joint Authors
Wang, Sanxiu
Chen, Guang
Cui, Yueli
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In two-axis servo contour motion control, friction and various uncertainties unavoidably exist, reducing the contour control accuracy.
This paper proposes a neural network contour error coupling control method based on LuGre friction compensation, which includes a contour error calculation model, single-axis computed torque controller (CTC), and neural network friction compensation controller.
The LuGre friction model can describe servo system’s complicated static and dynamic friction characteristics, and the RBF neural network has a universal approximation property to realize compensation control of friction.
Simulation results indicate that the proposed contour error control method can effectively compensate for the effect of friction and improve contour control accuracy.
American Psychological Association (APA)
Wang, Sanxiu& Chen, Guang& Cui, Yueli. 2019. Design of Contour Error Coupling Controller Based on Neural Network Friction Compensation. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1194333
Modern Language Association (MLA)
Wang, Sanxiu…[et al.]. Design of Contour Error Coupling Controller Based on Neural Network Friction Compensation. Mathematical Problems in Engineering No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1194333
American Medical Association (AMA)
Wang, Sanxiu& Chen, Guang& Cui, Yueli. Design of Contour Error Coupling Controller Based on Neural Network Friction Compensation. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1194333
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194333