Robust Adaptive Control of a Slow Rotor Compound eVTOL General Aircraft

Technological advances in areas such as battery technology, autonomous control, and distributed electric propulsion, have sparked significant interest in electric vertical takeoff and landing (eVTOL) aircraft for urban air mobility. In this work, we propose an adaptive control scheme to track the de...

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Bibliographic Details
Published in2022 8th International Conference on Control Science and Systems Engineering (ICCSSE) pp. 126 - 130
Main Authors Juanxia, Liu, Qing, Lin, Donghui, Liu, Juhong, Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.07.2022
Subjects
Adaptation models
Atmospheric modeling
Attitude control
Compounds
dynamic control allocation
Dynamic scheduling
incremental nonlinear inversion control
neural network
Resource management
Rotors
slow rotor compound eVTOL
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DOI10.1109/ICCSSE55346.2022.10079887

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Summary:Technological advances in areas such as battery technology, autonomous control, and distributed electric propulsion, have sparked significant interest in electric vertical takeoff and landing (eVTOL) aircraft for urban air mobility. In this work, we propose an adaptive control scheme to track the desired attitude for a slow rotor compound eVTOL autogyro in all flight modes. The attitude control scheme is based on a high-fidelity model built from first principles, incremental dynamic inversion (INDI) based on trim-map and neural network to achieve robust attitude tracking, a dynamic control allocation (DCA) approach to handle overactuation. Simulation results show the robustness and effectiveness of the proposed control scheme.
DOI:10.1109/ICCSSE55346.2022.10079887