Research on the control of thrust vectoring turbojet aircraft with uncertainties and input saturation based on fixed‐time control

Abstract One‐dimensional thrust vectoring turbojet vertical takeoff and landing (VTOL) aircraft have attracted research attention due to their high thrust‐to‐weight ratios and their solution for the slow speed response of turbojet engines. However, there are some uncertainties and physical limitations in their systems, such as external disturbances, unknown parameters and input saturation. To improve the accuracy and convergence speed of trajectory tracking, a fixed‐time control method that is robust to saturation is proposed. The system dynamics are established, and an auxiliary system is built within a fixed time control framework to address the influence of input saturation and increase the error convergence rate. Nonsingular fast terminal sliding mode technology is combined with a few adaptive laws to ensure the robustness of the closed‐loop system against dynamic uncertainties and improve the precision of steady‐state control. The stability of the control system is proven based on Lyapunov, and the controller parameters are optimized based on particle swarm optimization (PSO). The proposed method based on fixed‐time stability guarantees that the states of the closed‐loop system can reach the residual set around zero within the designed time, and an expression for the upper bound on the convergence time is given. Finally, numerical simulations demonstrate the superiority of the proposed method based on the error integral criterion.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2024-08-05
DOI
https://doi.org/10.1002/rnc.7571
Citations
2
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Research on the control of thrust vectoring turbojet aircraft with uncertainties and input saturation based on fixed‐time control

Liang Gao, Benshan Liu, Yanhe Zhu, Junming Zhang et al.
2 citations
International Journal of Robust and Nonlinear Control
Adaptive Control of Nonlinear Systems
0.66
article

Research on the control of thrust vectoring turbojet aircraft with uncertainties and input saturation based on fixed‐time control

Liang Gao, Benshan Liu, Yanhe Zhu, Junming Zhang, Jie Zhao, Yongsheng Gao
article en
2 citations

Abstract

Abstract One‐dimensional thrust vectoring turbojet vertical takeoff and landing (VTOL) aircraft have attracted research attention due to their high thrust‐to‐weight ratios and their solution for the slow speed response of turbojet engines. However, there are some uncertainties and physical limitations in their systems, such as external disturbances, unknown parameters and input saturation. To improve the accuracy and convergence speed of trajectory tracking, a fixed‐time control method that is robust to saturation is proposed. The system dynamics are established, and an auxiliary system is built within a fixed time control framework to address the influence of input saturation and increase the error convergence rate. Nonsingular fast terminal sliding mode technology is combined with a few adaptive laws to ensure the robustness of the closed‐loop system against dynamic uncertainties and improve the precision of steady‐state control. The stability of the control system is proven based on Lyapunov, and the controller parameters are optimized based on particle swarm optimization (PSO). The proposed method based on fixed‐time stability guarantees that the states of the closed‐loop system can reach the residual set around zero within the designed time, and an expression for the upper bound on the convergence time is given. Finally, numerical simulations demonstrate the superiority of the proposed method based on the error integral criterion.

International Journal of Robust and Nonlinear ControlVol. 34(16)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 31%
Adaptive Control of Nonlinear Systems
0.66
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