Direct Adaptive Uncertainty Minimization Framework in the Presence of Unknown Control Effectiveness

Abstract

In recent work, a direct uncertainty minimization framework has been developed and demonstrated for model reference adaptive controllers, which consists of a new architecture involving modification terms in the adaptive controller and the update law. Specifically, these modification terms are constructed through a gradient minimization procedure in order to achieve improved closed-loop system performance with adaptive controllers. In this paper, we generalize this framework for dynamical systems subject to uncertainty in the control effectiveness and provide a detailed stability analysis of the proposed approach. Final version of this paper will also include a detailed application to a hypersonic vehicle model to demonstrate the efflcacy of the proposed framework.

Department(s)

Mechanical and Aerospace Engineering

International Standard Book Number (ISBN)

978-162410389-6

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 American Institute of Aeronautics and Astronautics, All rights reserved.

Publication Date

01 Jan 2016

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