Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135784