Fast Trajectory Generation with a Deep Neural Network for Hypersonic Entry Flight
Optimal entry flight of hypersonic vehicles requires achieving specific mission objectives under complex nonlinear flight dynamics constraints. The challenge lies in rapid generation of optimal or near-optimal flight trajectories with significant changes in the initial flight conditions during entry...
Main Authors: | Haochen Li, Haibing Chen, Chengpeng Tan, Zaiming Jiang, Xinyi Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/10/11/931 |
Similar Items
-
Entry Guidance Command Generation for Hypersonic Glide Vehicles Under Threats and Multiple Constraints
by: Ziyao Wang, et al.
Published: (2022-01-01) -
A Novel IGC Scheme for RHV with the Capabilities of Online Aerodynamic Coefficient Estimation and Trajectory Generation
by: Xueyun Wang, et al.
Published: (2021-01-01) -
Real-Time Trajectory Planning for Hypersonic Entry Using Adaptive Non-Uniform Discretization and Convex Optimization
by: Jiarui Ma, et al.
Published: (2023-06-01) -
Algorithm of Reentry Guidance for Hypersonic Vehicle Based on Lateral Maneuverability Prediction
Published: (2020-06-01) -
A Real-Time and Optimal Hypersonic Entry Guidance Method Using Inverse Reinforcement Learning
by: Linfeng Su, et al.
Published: (2023-11-01)