Design of the automatic landing inversion flight control system based on neural network compensation for UAV

Yinchao Chen; Wei Yang

doi:10.1117/12.855425

2 April 2010 Design of the automatic landing inversion flight control system based on neural network compensation for UAV

Yinchao Chen, Wei Yang

Author Affiliations +

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76510L (2010) https://doi.org/10.1117/12.855425
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

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.

Citation Download Citation

Yinchao Chen and Wei Yang "Design of the automatic landing inversion flight control system based on neural network compensation for UAV", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76510L (2 April 2010); https://doi.org/10.1117/12.855425

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available