Differentiator based full-envelope adaptive control of air-breathing hypersonic vehicles

2018 ◽  
Vol 82-83 ◽  
pp. 312-322 ◽  
Author(s):  
Hao An ◽  
Qianqian Wu ◽  
Changhong Wang
Keyword(s):  
Adaptive Control ◽  
Hypersonic Vehicles ◽  
Air Breathing

Nonlinear Robust Adaptive Control of Flexible Air-Breathing Hypersonic Vehicles

2009 ◽  
Vol 32 (2) ◽  
pp. 402-417 ◽  
Author(s):  
Lisa Fiorentini ◽  
Andrea Serrani ◽  
Michael A. Bolender ◽  
David B. Doman
Keyword(s):  
Adaptive Control ◽  
Robust Adaptive Control ◽  
Hypersonic Vehicles ◽  
Air Breathing ◽  
Robust Adaptive ◽  
Nonlinear Robust

Simplified fault-tolerant adaptive control of air-breathing hypersonic vehicles

2018 ◽  
Vol 93 (8) ◽  
pp. 1964-1979 ◽  
Author(s):  
Hao An ◽  
Qianqian Wu ◽  
Changhong Wang ◽  
Xibin Cao
Keyword(s):  
Adaptive Control ◽  
Fault Tolerant ◽  
Hypersonic Vehicles ◽  
Air Breathing

scholarly journals Evasion guidance for air-breathing hypersonic vehicles against unknown pursuer dynamics

2021 ◽  
Author(s):  
Tian Yan ◽  
Yuanli Cai ◽  
Bin Xu
Keyword(s):  
Parameter Estimation ◽  
Gradient Descent ◽  
Rapid Development ◽  
Energy Optimization ◽  
Hypersonic Vehicles ◽  
Air Breathing ◽  
Related Research ◽  
Practical Guidance ◽  
Simulation Results ◽  
Guidance Algorithm

AbstractThe rapid development of hypersonic vehicles has motivated the related research dramatically while the evasion of the hypersonic vehicles becomes one of the challenging issues. Different from the work based on the premise that the pursuers’ information is fully known, in this paper the evasion guidance for air-breathing hypersonic vehicles (AHVs) against unknown pursuer dynamics is studied. The gradient descent is employed for parameter estimation of the unknown dynamics of the pursuer. The energy-optimized evasion guidance algorithm is further developed by taking the acceleration constraint and energy optimization into consideration. Under the proposed algorithm, the system can deal with the unknown pursuer dynamics effectively and provide more practical guidance for the evasion process. The simulation results show that the proposed method can enable the AHV to achieve successful evasion.

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