Robust Quadrotor Control: An Adaptive Synergetic Approach with Parallel Feedforward Compensation

This paper proposes an advanced approach for Quadrotor attitude control using robust adaptive control based on the property of almost passivity. The method addresses the inherent challenges of Quadrotor systems, particularly their lack of strict passivity, as well as the stability issues in the presence of uncertainties and external disturbances. To mitigate these challenges, a Parallel Feedforward Compensator (PFC) is introduced to render the Quadrotor Almost Strictly Passive (ASP), and an Adaptive Synergetic Control (ASC) method is implemented. The combination of PFC and ASC facilitates the stable implementation of the control system. The performance of the proposed ASC is evaluated through simulations and compared with PID and an adaptive backstepping controller.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/icsc63929.2024.10928823
Primary Topic
Power System Optimization and Stability
Type
article
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article

Robust Quadrotor Control: An Adaptive Synergetic Approach with Parallel Feedforward Compensation

A. El Hadri, Khalil Mokhtari, Saadi Achour, Mourad Abdelaziz
Power System Optimization and Stability
article

Robust Quadrotor Control: An Adaptive Synergetic Approach with Parallel Feedforward Compensation

A. El Hadri, Khalil Mokhtari, Saadi Achour, Mourad Abdelaziz
article en

Abstract

This paper proposes an advanced approach for Quadrotor attitude control using robust adaptive control based on the property of almost passivity. The method addresses the inherent challenges of Quadrotor systems, particularly their lack of strict passivity, as well as the stability issues in the presence of uncertainties and external disturbances. To mitigate these challenges, a Parallel Feedforward Compensator (PFC) is introduced to render the Quadrotor Almost Strictly Passive (ASP), and an Adaptive Synergetic Control (ASC) method is implemented. The combination of PFC and ASC facilitates the stable implementation of the control system. The performance of the proposed ASC is evaluated through simulations and compared with PID and an adaptive backstepping controller.

Université de Versailles Saint-Quentin-en-Yvelines (FR), University Ferhat Abbas of Setif (DZ), Abbès Laghrour University of Khenchela (DZ), Amar Telidji University of Laghouat (DZ)
Openalex Percentile: Top 74%
Power System Optimization and Stability
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