Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion

Unmanned Aerial Vehicles (UAVs) often experience disturbances during operation, which will degrade its performance and may cause potential failure, affecting safety risks to civilians and other 3rd parties. In such event, UAVs with the common cascaded PID control might not be sufficient to compensat...

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Main Authors: Agarwal, Anmol, Ng, Ee Meng, Low, Kin Huat
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/152317
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1523172021-09-25T20:10:18Z Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion Agarwal, Anmol Ng, Ee Meng Low, Kin Huat School of Mechanical and Aerospace Engineering 2021 International Conference on Unmanned Aircraft Systems (ICUAS) Air Traffic Management Research Institute Engineering::Mechanical engineering Lyapunov Function Dynamic Inversion Model Reference Adaptive Control Unmanned Aerial Vehicles (UAVs) often experience disturbances during operation, which will degrade its performance and may cause potential failure, affecting safety risks to civilians and other 3rd parties. In such event, UAVs with the common cascaded PID control might not be sufficient to compensate for this reduction in performance. This paper proposes to analyze algorithm for adaptive control, mainly focused on the model reference adaptive control (MRAC) such that despite any uncertainty the plant parameters remain close to the behavior of a desired reference model along with dynamic inversion as an adaptive controller for such scenarios which helps in decoupling of the flight states for the non-linear system. The results of the proposed method have been compared with the conventional PID based controller by implanting faults in motor outputs. In addition, the performance of the controls is evaluated in terms of trajectory following capability. Civil Aviation Authority of Singapore (CAAS) Nanyang Technological University Accepted version This research is supported by the Civil Aviation Authority of Singapore and the Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute. 2021-09-13T05:11:31Z 2021-09-13T05:11:31Z 2021 Conference Paper Agarwal, A., Ng, E. M. & Low, K. H. (2021). Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion. 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 10-19. https://dx.doi.org/10.1109/ICUAS51884.2021.9476830 978-1-6654-1535-4 2575-7296 https://hdl.handle.net/10356/152317 10.1109/ICUAS51884.2021.9476830 10 19 en © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICUAS51884.2021.9476830. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Lyapunov Function
Dynamic Inversion
Model Reference Adaptive Control
spellingShingle Engineering::Mechanical engineering
Lyapunov Function
Dynamic Inversion
Model Reference Adaptive Control
Agarwal, Anmol
Ng, Ee Meng
Low, Kin Huat
Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion
description Unmanned Aerial Vehicles (UAVs) often experience disturbances during operation, which will degrade its performance and may cause potential failure, affecting safety risks to civilians and other 3rd parties. In such event, UAVs with the common cascaded PID control might not be sufficient to compensate for this reduction in performance. This paper proposes to analyze algorithm for adaptive control, mainly focused on the model reference adaptive control (MRAC) such that despite any uncertainty the plant parameters remain close to the behavior of a desired reference model along with dynamic inversion as an adaptive controller for such scenarios which helps in decoupling of the flight states for the non-linear system. The results of the proposed method have been compared with the conventional PID based controller by implanting faults in motor outputs. In addition, the performance of the controls is evaluated in terms of trajectory following capability.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Agarwal, Anmol
Ng, Ee Meng
Low, Kin Huat
format Conference or Workshop Item
author Agarwal, Anmol
Ng, Ee Meng
Low, Kin Huat
author_sort Agarwal, Anmol
title Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion
title_short Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion
title_full Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion
title_fullStr Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion
title_full_unstemmed Adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (MRAC) with dynamic inversion
title_sort adaptive control of unmanned quadrotor with partial actuator failure using model reference adaptive control (mrac) with dynamic inversion
publishDate 2021
url https://hdl.handle.net/10356/152317
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