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Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application
Joint Authors
Liu, Zhiyong
Xue, Song
Bao, Hong
Du, Jingli
Source
International Journal of Aerospace Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-14
Country of Publication
Egypt
No. of Pages
21
Abstract EN
This paper addresses the disturbance change control problem with an active deformation adjustment mechanism on a 5-meter deployable antenna panel.
A fuzzy neural network Q-learning control (FNNQL) strategy is proposed in this paper for the disturbance change to improve the accuracy of the antenna panel.
In the proposed method, the error of the model disturbance is reduced by introducing the fuzzy radial basis function (RBF) neural network into Q-learning, and the parameters of the fuzzy RBF neural network were optimized and adjusted by a Q-learning method.
This allows the FNNQL controller to have a strong adaptability to deal with the disturbance change.
Finally, the proposed method has been adopted in the middle plate of a 5-meter deployable antenna panel, and it was found that the method could successfully adapt the model disturbance change in the antenna panel.
Results of the simulation also show that the whole control system meets the required accuracy requirements.
American Psychological Association (APA)
Liu, Zhiyong& Bao, Hong& Xue, Song& Du, Jingli. 2019. Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application. International Journal of Aerospace Engineering،Vol. 2019, no. 2019, pp.1-21.
https://search.emarefa.net/detail/BIM-1156822
Modern Language Association (MLA)
Liu, Zhiyong…[et al.]. Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application. International Journal of Aerospace Engineering No. 2019 (2019), pp.1-21.
https://search.emarefa.net/detail/BIM-1156822
American Medical Association (AMA)
Liu, Zhiyong& Bao, Hong& Xue, Song& Du, Jingli. Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application. International Journal of Aerospace Engineering. 2019. Vol. 2019, no. 2019, pp.1-21.
https://search.emarefa.net/detail/BIM-1156822
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156822