TY - GEN
T1 - A Review of Dynamics Modeling and Control Methods for Distributed Electric Propulsion Aircraft
AU - Wang, Zhiyan
AU - Wu, Yu
AU - Jia, Bicong
AU - Wu, Renjie
AU - Li, Weilin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - To address global aviation's energy and environmental challenges, electrification has become a core strategy - with Distributed Electric Propulsion (DEP) as a pivotal technology for sustainable air transport. DEP aircraft feature multiple electric propulsors distributed along the airframe, offering advantages like boundary layer ingestion (BLI), reduced acoustic noise, and inherent redundancy, while introducing unique challenges: high-dimensional control inputs, strong aero-propulsive coupling, and complex fault-tolerance demands. This paper reviews the state-of-the-art in DEP aircraft flight dynamics modeling and control methods. It details DEP-specific flight dynamics modeling (aerodynamic effects, thrust system dynamics, six-degree-of-freedom (6-DoF) nonlinear modeling), identifies core control tasks and DEP-unique control issues, evaluates control strategies (classical, nonlinear, model predictive, adaptive, intelligent learning-based), and concludes with key challenges and future research directions for DEP development.
AB - To address global aviation's energy and environmental challenges, electrification has become a core strategy - with Distributed Electric Propulsion (DEP) as a pivotal technology for sustainable air transport. DEP aircraft feature multiple electric propulsors distributed along the airframe, offering advantages like boundary layer ingestion (BLI), reduced acoustic noise, and inherent redundancy, while introducing unique challenges: high-dimensional control inputs, strong aero-propulsive coupling, and complex fault-tolerance demands. This paper reviews the state-of-the-art in DEP aircraft flight dynamics modeling and control methods. It details DEP-specific flight dynamics modeling (aerodynamic effects, thrust system dynamics, six-degree-of-freedom (6-DoF) nonlinear modeling), identifies core control tasks and DEP-unique control issues, evaluates control strategies (classical, nonlinear, model predictive, adaptive, intelligent learning-based), and concludes with key challenges and future research directions for DEP development.
KW - Distributed Electric Propulsion (DEP)
KW - control allocation
KW - fault-tolerant control
KW - flight dynamics modeling
KW - model predictive control (MPC)
KW - vertical takeoff/landing (VTOL)
UR - https://www.scopus.com/pages/publications/105036000403
U2 - 10.1109/ICPE68635.2025.11407743
DO - 10.1109/ICPE68635.2025.11407743
M3 - 会议稿件
AN - SCOPUS:105036000403
T3 - 2025 6th International Conference on Power Engineering, ICPE 2025
SP - 92
EP - 96
BT - 2025 6th International Conference on Power Engineering, ICPE 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 6th International Conference on Power Engineering, ICPE 2025
Y2 - 5 December 2025 through 7 December 2025
ER -