Fast super twisting algorithm and its application to attitude control of flying wing UAV

Jian Tan; Zhou Zhou; Xiao Ping Zhu; Xiao Ping Xu

doi:10.13195/j.kzyjc.2014.1578

Fast super twisting algorithm and its application to attitude control of flying wing UAV

Jian Tan, Zhou Zhou, Xiao Ping Zhu, Xiao Ping Xu

School of Aeronautics

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

A fast super twisting algorithm is proposed to improve the convergence properties of the super twisting algorithm with increasing the linear term. The convergence properties of the fast super twisting algorithm are investigated by means of the Lyapunov method. The algorithm is applied to the flying wing UAV attitude control system, and a fast super twisting disturbance observer is designed to estimate and compensate for disturbances. Simulation results show that the fast super twisting disturbance observer is faster than the super twisting disturbance observer with the same controller parameters, and can effectively improve the robustness of the attitude control system.

Original language	English
Pages (from-to)	143-148
Number of pages	6
Journal	Kongzhi yu Juece/Control and Decision
Volume	31
Issue number	1
DOIs	https://doi.org/10.13195/j.kzyjc.2014.1578
State	Published - 1 Jan 2016

Keywords

Disturbance observe
Fast super twisting algorithm
Flying wing UAV
Super twisting algorithm

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10.13195/j.kzyjc.2014.1578

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abstract = "A fast super twisting algorithm is proposed to improve the convergence properties of the super twisting algorithm with increasing the linear term. The convergence properties of the fast super twisting algorithm are investigated by means of the Lyapunov method. The algorithm is applied to the flying wing UAV attitude control system, and a fast super twisting disturbance observer is designed to estimate and compensate for disturbances. Simulation results show that the fast super twisting disturbance observer is faster than the super twisting disturbance observer with the same controller parameters, and can effectively improve the robustness of the attitude control system.",

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AU - Tan, Jian

AU - Zhou, Zhou

AU - Zhu, Xiao Ping

AU - Xu, Xiao Ping

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Y1 - 2016/1/1

N2 - A fast super twisting algorithm is proposed to improve the convergence properties of the super twisting algorithm with increasing the linear term. The convergence properties of the fast super twisting algorithm are investigated by means of the Lyapunov method. The algorithm is applied to the flying wing UAV attitude control system, and a fast super twisting disturbance observer is designed to estimate and compensate for disturbances. Simulation results show that the fast super twisting disturbance observer is faster than the super twisting disturbance observer with the same controller parameters, and can effectively improve the robustness of the attitude control system.

AB - A fast super twisting algorithm is proposed to improve the convergence properties of the super twisting algorithm with increasing the linear term. The convergence properties of the fast super twisting algorithm are investigated by means of the Lyapunov method. The algorithm is applied to the flying wing UAV attitude control system, and a fast super twisting disturbance observer is designed to estimate and compensate for disturbances. Simulation results show that the fast super twisting disturbance observer is faster than the super twisting disturbance observer with the same controller parameters, and can effectively improve the robustness of the attitude control system.

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KW - Fast super twisting algorithm

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KW - Super twisting algorithm

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Fast super twisting algorithm and its application to attitude control of flying wing UAV

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