Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks

المؤلفون المشاركون

Chen, Mou
Wan, Min
Yan, Kun

المصدر

Complexity

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-11-01

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الفلسفة

الملخص EN

In this paper, an adaptive sliding mode tracking control scheme is developed for the medium-scale unmanned autonomous helicopter with system uncertainties and external unknown disturbances.

A simplified mathematical model is established, which is divided into position subsystem and attitude subsystem.

The uncertainty term of the system is handled by the inherent approximation ability of the neural network.

The sliding model control scheme under the backstepping frame is developed for tackling disturbances.

The stability of the simplified system is proved by using the Lyapunov theory, and the tracking errors are guaranteed to be uniformly bounded.

Numerical simulation results show that the proposed control strategy is effective.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wan, Min& Chen, Mou& Yan, Kun. 2018. Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135784

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wan, Min…[et al.]. Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1135784

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wan, Min& Chen, Mou& Yan, Kun. Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135784

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1135784