Adaptive sliding mode stabilization and positioning control for a multi-vectored thrust airship with input saturation considered

Author:

Xiao Chang1ORCID,Wang Yueying2,Zhou Pingfang1,Duan Dengping1

Affiliation:

1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China

2. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China

Abstract

This article addresses a position and attitude stabilization control scheme for a class of multi-vectored airship with parameter uncertainty and input saturation considered. Airship parameters such as the inertia matrix and aerodynamic coefficients are hard to measure due to the uneven gas distribution and unforeseen shape changing. The propellers airships use often have saturation issues. These phenomena are unavoidable. To meet these challenges, we propose two adaptive sliding mode control methods. Both achieve airship position and attitude stabilization without the prior knowledge of the inertia matrix or aerodynamic coefficients. The second algorithm also takes input saturation into consideration. Simulations illustrate the effectiveness of our scheme. Compared with former works, our method achieves position, attitude, velocity and angular velocity stabilization with inertia matrix uncertainty, aerodynamic coefficient uncertainty, and input saturation.

Publisher

SAGE Publications

Subject

Instrumentation

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Design of Sliding Mode Control for Airship Trajectory Tracking with Uncertainty and Disturbance Estimation;Journal of Systems Engineering and Electronics;2024-02

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3. Estimation of airship states and model uncertainties using nonlinear estimators;Mehran University Research Journal of Engineering and Technology;2024-01-01

4. Multi-body modelling and adaptive control of a re-configurable uninhabited airship;Drone Systems and Applications;2022-01-01

5. Adaptive control and disturbance compensation for gear transmission servo systems with large-range inertia variation;Transactions of the Institute of Measurement and Control;2021-09-23

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