Adaptive Augmentation of an Optimal Baseline Controller for a Hypersonic Vehicle

The aim of this work is to design an adaptive augmentation of an optimal baseline controller for the flight dynamics of a HSV (HyperSonic Vehicle) using model-reference adaptive control (aMRAC). The baseline controller is able to track a bounded input with a desired dynamic and with zero steady stat...

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Bibliographic Details
Published in2018 Annual American Control Conference (ACC) pp. 4068 - 4074
Main Authors Martinino, Manfredo, Bordeneuve-Guibe, Joel, Morio, Vincent
Format Conference Proceeding
LanguageEnglish
Published AACC 01.06.2018
Subjects
Adaptation models
Adaptive systems
Aerodynamics
Mathematical model
Robustness
Uncertainty
Vehicle dynamics
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Summary:The aim of this work is to design an adaptive augmentation of an optimal baseline controller for the flight dynamics of a HSV (HyperSonic Vehicle) using model-reference adaptive control (aMRAC). The baseline controller is able to track a bounded input with a desired dynamic and with zero steady state error. The adaptive augmentation is used to compensate the uncertainties, due to a poor knowledge of the physical system, that may degrade the baseline closed-loop performances. The main contribution of this paper is the combination of a MDZM and a projection operator together with two modifications, proposed by the authors, to improve the performances of the closed loop. The adaptive controller has been implemented in Simulink and integrated to a NASA X-30 model. Simulation results are provided to show the effectiveness of the augmented controller notably in presence of aerodynamic uncertainties and control degradations.
ISSN:2378-5861
DOI:10.23919/ACC.2018.8431591