Fuzzy Neural Network Q-Learning Method for Model Disturbance Change: A Deployable Antenna Panel Application

المؤلفون المشاركون

Liu, Zhiyong
Xue, Song
Bao, Hong
Du, Jingli

المصدر

International Journal of Aerospace Engineering

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-21، 21ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-12-14

دولة النشر

مصر

عدد الصفحات

21

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1156822