Nonlinear analysis of adaptive flight control laws

Andrei Dorobantu, Peter Seiler, Gary Balas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Adaptive control algorithms have the potential to improve performance and reliability of flight control systems. The application of adaptive control on commercial or military aircraft will require validation and verification of the robustness of these algorithms to modeling errors and uncertainties. Currently, there is a lack of tools to rigorously analyze the performance and robustness of adaptive systems. This paper addresses the development of nonlinear robustness analysis tools for such systems. First a model-reference adaptive controller is derived for an aircraft short-period model. It is noted that the adaptive control law is a polynomial system. Polynomial optimization tools are applied to the closed loop model to assess the performance and robustness of the adaptive control law. Two sets of results are presented in this paper. First, input-output gains are calculated in the presence of model uncertainty to evaluate the performance of the adaptive law. Second, time delay margins are computed for varying parameters in the adaptive law, as well as in the presence of model uncertainty.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
StatePublished - Dec 1 2010
EventAIAA Guidance, Navigation, and Control Conference - Toronto, ON, Canada
Duration: Aug 2 2010Aug 5 2010

Publication series

NameAIAA Guidance, Navigation, and Control Conference

Other

OtherAIAA Guidance, Navigation, and Control Conference
CountryCanada
CityToronto, ON
Period8/2/108/5/10

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