Immersion and invariance based adaptive control of three dimensional autonomous vehicle maneuvers

Bariş Fidan, Ismail Bayezit

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

Abstract

In this paper, we focus on the three dimensional motion control of autonomous vehicles controlled by body frame fixed control signals, to track specified desired trajectories. Since the trajectories are specified in the inertial frame and the control signals to be generated are in the body frame, such a motion control task depends on measurement of the Euler angles defining the relation between body and inertial frames using the navigation equipment mounted on the vehicles. The measurements provided by this equipment carry noises, which bring parametric uncertainty to the corresponding motion kinematics. We design an adaptive controller to perform the motion control task mentioned above, paying attention to the parametric uncertainties caused by measurement noises, employing a recently developed immersion and invariance based scheme. We provide simulation results demonstrating the performance of the adaptive controller and discuss application in formation control of autonomous multi-agent systems.

Original languageEnglish
Title of host publicationIFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Proceedings
PublisherIFAC Secretariat
Pages89-93
Number of pages5
EditionPART 1
ISBN (Print)9783902661852
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Antalya, Turkey
Duration: 26 Aug 201028 Aug 2010

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume1
ISSN (Print)1474-6670

Conference

Conference10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010
Country/TerritoryTurkey
CityAntalya
Period26/08/1028/08/10

Keywords

  • Adaptive control
  • Autonomous vehicle
  • Immersion
  • Invariance
  • Motion control
  • UAV

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