Aeroelastic Control-oriented Modeling of an Air-breathing Hypersonic Vehicle

2016 ◽  
Author(s):  
Praneeth Reddy Sudalagunta ◽  
Cornel Sultan ◽  
Rakesh K. Kapania ◽  
Layne T. Watson ◽  
Pradeep Raj
Keyword(s):  
Hypersonic Vehicle ◽  
Air Breathing

Anti-Windup Control for an Air-Breathing Hypersonic Vehicle Model

2005 ◽  
Author(s):  
Kevin P. Groves ◽  
Andrea Serrani ◽  
Stephen Yurkovich ◽  
Michael A. Bolender ◽  
David B. Doman
Keyword(s):  
Hypersonic Vehicle ◽  
Vehicle Model ◽  
Air Breathing

Robust fixed-time sliding mode controller for flexible air-breathing hypersonic vehicle

2019 ◽  
Vol 90 ◽  
pp. 1-18 ◽  
Author(s):  
Yibo Ding ◽  
Xiaogang Wang ◽  
Yuliang Bai ◽  
Naigang Cui
Keyword(s):  
Sliding Mode ◽  
Fixed Time ◽  
Hypersonic Vehicle ◽  
Sliding Mode Controller ◽  
Air Breathing

scholarly journals Fuzzy-Approximation-Based Novel Back-Stepping Control of Flexible Air-Breathing Hypersonic Vehicles with Nonaffine Models

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Xingge Li ◽  
Gang Li
Keyword(s):  
Control Problem ◽  
Control Strategy ◽  
Hypersonic Vehicle ◽  
Hypersonic Vehicles ◽  
Input Constraints ◽  
Air Breathing ◽  
Fuzzy Approximation ◽  
Low Pass ◽  
Back Stepping Control ◽  
Low Pass Filters

This article investigates a novel fuzzy-approximation-based nonaffine control strategy for a flexible air-breathing hypersonic vehicle (FHV). Firstly, the nonaffine models are decomposed into an altitude subsystem and a velocity subsystem, and the nonaffine dynamics of the subsystems are processed by using low-pass filters. For the unknown functions and uncertainties in each subsystem, fuzzy approximators are used to approximate the total uncertainties, and norm estimation approach is introduced to reduce the computational complexity of the algorithm. Aiming at the saturation problem of actuator, a saturation auxiliary system is designed to transform the original control problem with input constraints into a new control problem without input constraints. Finally, the superiority of the proposed method is verified by simulation.

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