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Adaptive Neural Back-Stepping Control with Constrains for a Flexible Air-Breathing Hypersonic Vehicle
- Source :
- Mathematical Problems in Engineering, Vol 2015 (2015)
- Publication Year :
- 2015
- Publisher :
- Hindawi Limited, 2015.
-
Abstract
- The design of an adaptive neural back-stepping control for a flexible air-breathing hypersonic vehicle (AHV) in the presence of input constraint and aerodynamic uncertainty is discussed. Based on functional decomposition, the dynamics can be decomposed into the velocity subsystem and the altitude subsystem. To guarantee the exploited controller’s robustness with respect to parametric uncertainties, neural network (NN) is applied to approximate the lumped uncertainty of each subsystem of AHV model. The exceptional contribution is that novel auxiliary systems are introduced 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 actuators are saturated. Finally, simulation studies are made to illustrate the effectiveness of the proposed control approach in spite of the flexible effects, system uncertainties, and varying disturbances.
- Subjects :
- Engineering
Article Subject
Artificial neural network
business.industry
lcsh:Mathematics
General Mathematics
General Engineering
Hypersonic vehicle
Control engineering
Aerodynamics
lcsh:QA1-939
Functional decomposition
lcsh:TA1-2040
Control theory
Robustness (computer science)
Back stepping
lcsh:Engineering (General). Civil engineering (General)
Actuator
business
Parametric statistics
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2015
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....8f198ba4f6c3f0350660a947245fa561