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A Double Power Reaching Law of Sliding Mode Control Based on Neural Network
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
For discrete system, the reaching law election and controller design are two crucial and important problems.
In this paper, an improved double power reaching law of SMC and a controller combined with neural network have been investigated.
Theory proves that this method can eliminate the chattering and increase the reaching rate.
Furthermore, when there is a certain external interference, the regulating function of neural network can ensure strong robustness of the system.
Simulation results show that compared with exponential reaching law, single power reaching law, and traditional double power reaching law, the proposed reaching law has faster convergence speed and better dynamic performance.
American Psychological Association (APA)
Zhao, Yu-Xin& Wu, Tian& Ma, Yan. 2013. A Double Power Reaching Law of Sliding Mode Control Based on Neural Network. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031868
Modern Language Association (MLA)
Zhao, Yu-Xin…[et al.]. A Double Power Reaching Law of Sliding Mode Control Based on Neural Network. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031868
American Medical Association (AMA)
Zhao, Yu-Xin& Wu, Tian& Ma, Yan. A Double Power Reaching Law of Sliding Mode Control Based on Neural Network. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031868
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031868