Volume 49 Issue 10
Oct.  2023
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WU X J,HAN X R,WU X L,et al. Prescribed performance control for quadrotor UAV with unknown kinetic parameters[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(10):2587-2595 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0714
Citation: WU X J,HAN X R,WU X L,et al. Prescribed performance control for quadrotor UAV with unknown kinetic parameters[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(10):2587-2595 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0714

Prescribed performance control for quadrotor UAV with unknown kinetic parameters

doi: 10.13700/j.bh.1001-5965.2021.0714
Funds:

National Natural Science Foundation of China (62003129,61903122); Graduate Innovation Funding Project of Hebei University of Science and Technology (XJCXZZSS2022014) 

More Information
  • Corresponding author: E-mail:wuxiaojing013@163.com
  • Received Date: 30 Nov 2021
  • Accepted Date: 11 Mar 2022
  • Available Online: 31 Oct 2023
  • Publish Date: 08 Apr 2022
  • A new double closed loop and prescribed performance control method based on adaptive dynamic-surface frames is proposed for the uncertain quadrotor UAV with unknown external airflow disturbance, air resistance and time-varying load. During the design process, the four-rotor UAV system is decoupled into two loops: the outer loop position subsystem and the inner loop attitude subsystem, connected by attitude extraction algorithm. For the position and attitude subsystems, the unknown dynamic parameters, air resistance and external interference of the system are estimated by using the adaptive method. A new coordinate transformation is then introduced to act on the tracking errors. Based on the Lyapunov stability theory, a new method is proposed for the design of a prescribed performance controller to make the tracking error of the closed-loop system uniform, achieving ultimate bounded stability. The transient and steady-state performance requirements are met in the whole dynamic process. Compared with the existing results, our results overcome the limitations of accurately known system kinetic parameters and loads, and avoid the complicated inverse process in the design of the prescribed performance control. Finally, the simulation examples are provided to verify the effectiveness and superiority of the proposed method.

     

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