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Proceedings Paper

Design of the automatic landing inversion flight control system based on neural network compensation for UAV
Author(s): Yinchao Chen; Wei Yang
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Paper Abstract

A dynamic inversion control method based on neural network compensation for UAV automatic landing is introduced. Aimed at the nonlinear characteristic of automatic landing procedure, the dynamic inversion method is used for feedback linearization. The on-line neural network is introduced to compensation dynamic inversion error caused by the disturbance factors during automatic landing and improves the controller performance. Numerical simulation presents that the control method can make the UAV follow the expected trace properly and have good dynamic performance and robust performance.

Paper Details

Date Published: 2 April 2010
PDF: 6 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510L (2 April 2010); doi: 10.1117/12.855425
Show Author Affiliations
Yinchao Chen, Northwestern Polytechnical Univ. (China)
Wei Yang, Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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