Synthesis of nonlinear robust control for aerial vehicles under parameter uncertainties

This paper proposes a nonlinear robust control strategy for the longitudinal motion channel of an aerial vehicle (AV) to enhance flight control quality under parameter uncertainties. A mathematical model of the control object is developed, and a robust nonlinear controller is synthesized using sliding mode control (SMC) combined with a reference model. The controller parameters are designed based on Lyapunov stability theory, ensuring the robust stability of the closed-loop system. A linear modal controller is developed to compare with the proposed nonlinear controller. Comparative simulations conducted in MATLAB/Simulink highlight the superior performance of the proposed controller in terms of tracking accuracy and robustness.

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Publication Details

Journal
Journal of Military Science and Technology
Published
2025-08-25
DOI
https://doi.org/10.54939/1859-1043.j.mst.105.2025.28-35
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Synthesis of nonlinear robust control for aerial vehicles under parameter uncertainties

N. D. Khanh, Dr Phuong Nguyen Viet
Journal of Military Science and Technology
Adaptive Control of Nonlinear Systems
article

Synthesis of nonlinear robust control for aerial vehicles under parameter uncertainties

N. D. Khanh, Dr Phuong Nguyen Viet
article en

Abstract

This paper proposes a nonlinear robust control strategy for the longitudinal motion channel of an aerial vehicle (AV) to enhance flight control quality under parameter uncertainties. A mathematical model of the control object is developed, and a robust nonlinear controller is synthesized using sliding mode control (SMC) combined with a reference model. The controller parameters are designed based on Lyapunov stability theory, ensuring the robust stability of the closed-loop system. A linear modal controller is developed to compare with the proposed nonlinear controller. Comparative simulations conducted in MATLAB/Simulink highlight the superior performance of the proposed controller in terms of tracking accuracy and robustness.

Journal of Military Science and TechnologyVol. 105
Saint Petersburg State Electrotechnical University (RU)
Openalex Percentile: Top 68%
Adaptive Control of Nonlinear Systems
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