Application of adaptive control with closed-loop reference models to a model aircraft with actuator dynamics and input uncertainty

Alexander W. Zollitsch, Florian Holzapfel, Anuradha M. Annaswamy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper presents an adaptively augmented LQR controller for the FSD ExtremeStar, a high agility model airplane. Uncertainties in the control effectiveness are compensated by a direct model reference adaptive controller (MRAC), which uses closed-loop reference models (CRMs). Simulation results on a nonlinear plant with actuator dynamics and sensor models indicate that the CRM adaptive controller provides additional robustness to plant uncertainties and unmodeled dynamics compared to the classical MRAC architecture, where an open-loop reference model is employed.

Original languageEnglish
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3848-3853
Number of pages6
ISBN (Electronic)9781479986842
DOIs
StatePublished - 28 Jul 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: 1 Jul 20153 Jul 2015

Publication series

NameProceedings of the American Control Conference
Volume2015-July
ISSN (Print)0743-1619

Conference

Conference2015 American Control Conference, ACC 2015
Country/TerritoryUnited States
CityChicago
Period1/07/153/07/15

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