Technical Papers
Aug 4, 2017

Robust Flight Control Design Using Sensor-Based Backstepping Control for Unmanned Aerial Vehicles

Publication: Journal of Aerospace Engineering
Volume 30, Issue 6

Abstract

The sensor-based backstepping control law, which is not sensitive to model uncertainty, uses less model knowledge and the measurements of state derivatives. A flight control law based on a sensor-based backstepping method for unmanned aerial vehicles (UAVs) is proposed in this paper. The nonlinear model uncertainties of a UAV and sensor noise are concerning. Moreover, command filters are used to handle dynamics and saturation effects of the actuators for carrying out the flight control law. The simulation results show the proposed flight control law can guarantee the closed-loop system stability and has better tracking control performance than the block backstepping control law with model uncertainty.

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Acknowledgments

This work was supported by the Artificial Intelligence Key Laboratory Open Foundation of Sichuan Province (No. 2016RYJ02) and the National Aerospace Science Foundation of China (No. 201605U8002).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 30Issue 6November 2017

History

Received: Feb 6, 2015
Accepted: Apr 28, 2017
Published online: Aug 4, 2017
Published in print: Nov 1, 2017
Discussion open until: Jan 4, 2018

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Authors

Affiliations

Lecturer, College of Automation and Information Engineering, Sichuan Univ. of Science and Engineering, Zigong 643000, P.R. China; Artificial Intelligence Key Laboratory of Sichuan Province, Zigong 643000, P.R. China. E-mail: [email protected]
Xiaoxiang Hu [email protected]
Lecturer, Xi’an Research Institute of High-Tech, Xi’an 710025, P.R. China (corresponding author). E-mail: [email protected]
Shengxiu Zhang
Professor, Xi’an Research Institute of High-Tech, Xi’an 710025, P.R. China.
Yunfeng Liu
Engineer, No. 209 Institute of Chinese Weapon Industry, Chengdu 610041, P.R. China; Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, P.R. China.

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