TY - GEN
T1 - De-centralized Control for Distributed Electric Propulsion Systems in Electric UAVs
AU - Huangfu, Yigeng
AU - Yu, Tianying
AU - Zhang, Ruiheng
AU - Du, Yuhua
AU - Fan, Aili
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper proposes a de-centralized control method for distributed electric propulsion (DEP) systems in Unmanned Aerial Vehicles (UAVs). The traditional DEP system adopts a centralized control method and is equipped with similar redundancy. Such a control configuration suffers from single-point-of-failure and common mode faults. In this paper, a distributed control architecture is designed for the electric propulsion system, and a de-centralized control algorithm based on the pinning consensus is proposed to realize the synchronous control of the electric propeller speed and ensure the overall dynamic performance of the whole system. In addition, to address the problem that the cyber network may be disturbed by noise or gain loss, a disturbance reconfiguration approach based on continuous signal compensation is designed to autonomously compensate for the steady-state error and enhance the stability under system disturbance. The performance of the proposed controller has been validated using fine-tuned motor models.
AB - This paper proposes a de-centralized control method for distributed electric propulsion (DEP) systems in Unmanned Aerial Vehicles (UAVs). The traditional DEP system adopts a centralized control method and is equipped with similar redundancy. Such a control configuration suffers from single-point-of-failure and common mode faults. In this paper, a distributed control architecture is designed for the electric propulsion system, and a de-centralized control algorithm based on the pinning consensus is proposed to realize the synchronous control of the electric propeller speed and ensure the overall dynamic performance of the whole system. In addition, to address the problem that the cyber network may be disturbed by noise or gain loss, a disturbance reconfiguration approach based on continuous signal compensation is designed to autonomously compensate for the steady-state error and enhance the stability under system disturbance. The performance of the proposed controller has been validated using fine-tuned motor models.
KW - De-centralized control
KW - Distributed electric propulsion system
KW - Disturbance suppression
KW - Multi-motor synchronous control
UR - http://www.scopus.com/inward/record.url?scp=85205733748&partnerID=8YFLogxK
U2 - 10.1109/ICIEA61579.2024.10664970
DO - 10.1109/ICIEA61579.2024.10664970
M3 - 会议稿件
AN - SCOPUS:85205733748
T3 - 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
BT - 2024 IEEE 19th Conference on Industrial Electronics and Applications, ICIEA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE Conference on Industrial Electronics and Applications, ICIEA 2024
Y2 - 5 August 2024 through 8 August 2024
ER -