Adaptive-gain sliding mode control for fixed-wing UAVs with input saturation

  • ZHANG Chaofan ,
  • DONG Qi
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  • 1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China;
    2. China Academy of Electronics and Information Technology, Beijing 100041, China

Received date: 2019-12-13

  Revised date: 2019-12-23

  Online published: 2019-12-26

Supported by

National Natural Science Foundation of China (61803353); Young Elite Scientists Sponsorship Program by CAST (2018QNRC001)

Abstract

Under the effects of complex flight environments, a control strategy for fixed-wing UAVs based on the adaptive sliding mode algorithm is proposed considering external disturbances and the input saturation. Firstly, a fixed-wing UAV model is introduced and further divided into an attitude subsystem and a velocity subsystem. Then, according to different characteristics and control requirements of the two subsystems, a novel adaptive multivariable twisting algorithm and a novel adaptive-gain fast super twisting sliding mode algorithm are proposed to design an attitude controller and a velocity controller for a fixed-wing UAV respectively. In this control strategy, the observer is not needed to estimate the disturbance. The stability of the closed loop systems is proved based on Lyapunov stability analysis. Finally, simulations are conducted to demonstrate the effectiveness and favorable control performance of the proposed strategy.

Cite this article

ZHANG Chaofan , DONG Qi . Adaptive-gain sliding mode control for fixed-wing UAVs with input saturation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020 , 41(S1) : 723755 -723755 . DOI: 10.7527/S1000-6893.2019.23755

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