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An Adaptive Nonlinear Control for Gyro Stabilized Platform Based on Neural Networks and Disturbance Observer
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In order to improve the tracking performance of gyro stabilized platform with disturbances and uncertainties, an adaptive nonlinear control based on neural networks and reduced-order disturbance observer for disturbance compensation is developed.
First the reduced-order disturbance observer estimates the disturbance directly.
The error of the estimated disturbance caused by parameter variation and measurement noise is then approximated by neural networks.
The phase compensation is also introduced to the proposed control law for the desired sinusoidal tracking.
The stability of the proposed scheme is analyzed by the Lyapunov criterion.
Experimental results show the validity of the proposed control approach.
American Psychological Association (APA)
Fang, Jiancheng& Yin, Rui. 2014. An Adaptive Nonlinear Control for Gyro Stabilized Platform Based on Neural Networks and Disturbance Observer. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1044287
Modern Language Association (MLA)
Fang, Jiancheng& Yin, Rui. An Adaptive Nonlinear Control for Gyro Stabilized Platform Based on Neural Networks and Disturbance Observer. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1044287
American Medical Association (AMA)
Fang, Jiancheng& Yin, Rui. An Adaptive Nonlinear Control for Gyro Stabilized Platform Based on Neural Networks and Disturbance Observer. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1044287
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044287