Application of H∞ Control to Non-Linear Quadrotor Systems

This study explores the application of the H∞ control method to regulate the non-linear dynamics of quadrotors, which are increasingly used in applications requiring high stability and adaptability, such as surveillance, delivery systems, and search and rescue operations. Quadrotors' inherent non-linearities and susceptibility to external disturbances present significant challenges for conventional control methods. The H∞ controller, designed to minimize the worst-case gain of the system’s transfer function, ensures robust performance by limiting disturbance amplification and stabilizing the system. The controller was implemented using the algebraic Riccati equation, with MATLAB and Simulink simulations evaluating its effectiveness under Gaussian and sinusoidal disturbances of varying amplitudes and frequencies. Results demonstrated the controller's ability to maintain stability, minimize steady-state errors, reduce oscillations, and ensure precise trajectory tracking across positional and rotational states. These findings confirm the H∞ controller's potential for real-world UAV applications, offering a robust and reliable solution to manage unpredictable and dynamic environments.

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Publication Details

Journal
SCIENTIFIC WORK
Published
2025-01-22
DOI
https://doi.org/10.36719/2663-4619/110/127-132
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Application of H∞ Control to Non-Linear Quadrotor Systems

Khalid Akhundov
SCIENTIFIC WORK
Advanced Control Systems Design
article

Application of H∞ Control to Non-Linear Quadrotor Systems

Khalid Akhundov
article en

Abstract

This study explores the application of the H∞ control method to regulate the non-linear dynamics of quadrotors, which are increasingly used in applications requiring high stability and adaptability, such as surveillance, delivery systems, and search and rescue operations. Quadrotors' inherent non-linearities and susceptibility to external disturbances present significant challenges for conventional control methods. The H∞ controller, designed to minimize the worst-case gain of the system’s transfer function, ensures robust performance by limiting disturbance amplification and stabilizing the system. The controller was implemented using the algebraic Riccati equation, with MATLAB and Simulink simulations evaluating its effectiveness under Gaussian and sinusoidal disturbances of varying amplitudes and frequencies. Results demonstrated the controller's ability to maintain stability, minimize steady-state errors, reduce oscillations, and ensure precise trajectory tracking across positional and rotational states. These findings confirm the H∞ controller's potential for real-world UAV applications, offering a robust and reliable solution to manage unpredictable and dynamic environments.

SCIENTIFIC WORKVol. 19(1)
Openalex Percentile: Top 99%
Advanced Control Systems Design
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