Frequency-limited adaptive control of a generic transport model in the presence of system uncertainty and losses in control effectiveness

Gerardo De La Torre, Tansel Yucelen, Wassim M. Haddad, Eric N. Johnson

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

3 Scopus citations

Abstract

While adaptive control has been used in numerous applications to achieve system performance without excessive reliance on dynamical system models, the necessity of high-gain learning rates for safety-critical systems to achieve fast adaptation can be a serious limitation of most adaptive controllers. In order to address this problem, two novel adaptive control approaches developed recently aim to limit the bandwidth of the closed-loop adaptive control system in order to suppress the high-frequency content contained in the system error dynamics and adaptation algorithms. Specifically, this key feature of these frameworks allows for robust and fast adaptation by utilizing high-gain learning rates without inducing high-frequency oscillations in system states and the adaptive control signal. In this paper, we apply these two methods to a high-fidelity scaled transport aircraft model, namely the generic transport model, developed at NASA Langley Research Center in the presence of unexpected structural damage and uncertainty in control surface effectiveness.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
StatePublished - 2014
EventAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Publication series

NameAIAA Guidance, Navigation, and Control Conference

Other

OtherAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
Country/TerritoryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering

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