A Hybrid-Driven Optimization Framework for Fixed-Wing UAV Maneuvering Flight Planning
Performing autonomous maneuvering flight planning and optimization remains a challenge for unmanned aerial vehicles (UAVs), especially for fixed-wing UAVs due to its high maneuverability and model complexity. A novel hybrid-driven fixed-wing UAV maneuver optimization framework, inspired by apprentic...
Main Authors: | Renshan Zhang, Su Cao, Kuang Zhao, Huangchao Yu, Yongyang Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/19/2330 |
Similar Items
-
Design of Nonlinear Backstepping Controller for Flying Wing UAV Maneuvering Flight
by: YANG Leiheng, et al.
Published: (2020-10-01) -
Flight Trajectories Optimization of Fixed-Wing UAV by Bank-Turn Mechanism
by: Affiani Machmudah, et al.
Published: (2022-03-01) -
An Adaptive Control Framework for the Autonomous Aerobatic Maneuvers of Fixed-Wing Unmanned Aerial Vehicle
by: Su Cao, et al.
Published: (2022-10-01) -
A Novel Inverse Simulation Method of Helicopter Maneuvering Flight
by: Guozhi Li, et al.
Published: (2023-06-01) -
Deep learning for Flight Maneuver Recognition: A survey
by: Jing Lu, et al.
Published: (2023-01-01)