TY - GEN
T1 - Active Stability Augmentation Control of eVTOL Vehicle Under Lateral Random Airflow Interference
AU - Meng, Xiaoteng
AU - Wang, Weida
AU - Liu, Guosheng
AU - Cheng, Jiankang
AU - Liu, Wenjie
AU - Ma, Jiefei
AU - Zhao, Jing
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Urban air mobility vehicles, represented by manned electric vertical takeoff and landing (eVTOL) vehicles, are promised to improve urban traffic congestion and recover the time lost by individuals during daily commutes. Nevertheless, the complex building features, confined spaces, often adverse weather conditions and frequent local airflow distortions in urban low-altitude urban environments pose risks to the flight stability and safety of eVTOL vehicles, significantly restricting their applications. This study focuses on the flight module of the electrically-powered intelligent modular flying car "UAM650". Based on this, a flight dynamics model incorporating sudden external airflow disturbances is derived. Additionally, the LEE controller is optimized, and a unified controller capable of both high maneuverability and strong disturbance resistance is proposed. Moreover, comprehensive comparative validations are carried out to showcase the controller's exceptional performance. When the eVTOL vehicle maintains high maneuverability and encounters random lateral airflow disturbances ranging from 10-14 m/s, the median reduction in trajectory tracking error reaches up to 63%, effectively ensuring the safety and stability of manned urban air mobility vehicles in low-altitude urban environments.
AB - Urban air mobility vehicles, represented by manned electric vertical takeoff and landing (eVTOL) vehicles, are promised to improve urban traffic congestion and recover the time lost by individuals during daily commutes. Nevertheless, the complex building features, confined spaces, often adverse weather conditions and frequent local airflow distortions in urban low-altitude urban environments pose risks to the flight stability and safety of eVTOL vehicles, significantly restricting their applications. This study focuses on the flight module of the electrically-powered intelligent modular flying car "UAM650". Based on this, a flight dynamics model incorporating sudden external airflow disturbances is derived. Additionally, the LEE controller is optimized, and a unified controller capable of both high maneuverability and strong disturbance resistance is proposed. Moreover, comprehensive comparative validations are carried out to showcase the controller's exceptional performance. When the eVTOL vehicle maintains high maneuverability and encounters random lateral airflow disturbances ranging from 10-14 m/s, the median reduction in trajectory tracking error reaches up to 63%, effectively ensuring the safety and stability of manned urban air mobility vehicles in low-altitude urban environments.
KW - active stability control
KW - electric vertical takeoff and landing (eVTOL)
KW - high maneuverability flight
KW - random airflow disturbance
UR - http://www.scopus.com/inward/record.url?scp=85185375142&partnerID=8YFLogxK
U2 - 10.1109/CVCI59596.2023.10397421
DO - 10.1109/CVCI59596.2023.10397421
M3 - Conference contribution
AN - SCOPUS:85185375142
T3 - Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
BT - Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
Y2 - 27 October 2023 through 29 October 2023
ER -
