Robust adaptive backstepping tracking control for a flexible air-breathing hypersonic vehicle subject to input constraint

Author(s):  
Q Zong ◽  
F Wang ◽  
R Su ◽  
SK Shao
2017 ◽  
Vol 30 (6) ◽  
pp. 04017073 ◽  
Author(s):  
Jing-guang Sun ◽  
Shen-min Song ◽  
Guan-qun Wu

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141667111 ◽  
Author(s):  
Peng Fei Wang ◽  
Jie Wang ◽  
Xiang Wei Bu ◽  
Ying Jie Jia

The design of an adaptive fuzzy tracking control for a flexible air-breathing hypersonic vehicle with actuator constraints is discussed. Based on functional decomposition methodology, velocity and altitude controllers are designed. Fuzzy logic systems are applied to approximate the lumped uncertainty of each subsystem of air-breathing hypersonic vehicle model. Every controllers contain only one adaptive parameter that needs to be updated online with a minimal-learning-parameter scheme. The back-stepping design is not demanded by converting the altitude subsystem into the normal output-feedback formulation, which predigests the design of a controller. The special contribution is that novel auxiliary systems are developed to compensate both the tracking errors and desired control laws, based on which the explored controller can still provide effective tracking of velocity and altitude commands when the inputs are saturated. Finally, reference trajectory tracking simulation shows the effectiveness of the proposed method in its application to air-breathing hypersonic vehicle control.


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