Abstract

This paper presents an L1 adaptive output feedback augmentation of a Model Reference Controller for a class of unknown single-input single-output, linear time-invariant systems. Similar to prior solutions in L1 adaptive control theory, the feedback structure consists of a predictor, adaptation laws and a low-pass filter. The closed-loop system achieves arbitrarily close tracking of the input and the output signals of the reference system. The proposed control strategy has been implemented and simulated on a longitudinal autopilot for a missile model. Simulation results show the performance of the adaptive control law in the presence of parameter uncertainties and input disturbance.

Original languageEnglish (US)
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages697-702
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

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

Other

Other2014 American Control Conference, ACC 2014
Country/TerritoryUnited States
CityPortland, OR
Period6/4/146/6/14

Keywords

  • Adaptive systems
  • Linear systems
  • Uncertain systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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