Rapid transfer of controllers between UAVs using learning-based adaptive control

Girish Chowdhary, Tongbin Wu, Mark Cutler, Jonathan P. How

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

Abstract

Commonly used Proportional-Integral-Derivative based UAV flight controllers are often seen to provide adequate trajectory-tracking performance, but only after extensive tuning. The gains of these controllers are tuned to particular platforms, which makes transferring controllers from one UAV to other time-intensive. This paper formulates the problem of control-transfer from a source system to a transfer system and proposes a solution that leverages well-studied techniques in adaptive control. It is shown that concurrent learning adaptive controllers improve the trajectory tracking performance of a quadrotor with the baseline linear controller directly imported from another quadrotor whose inertial characteristics and throttle mapping are very different. Extensive flight-testing, using indoor quadrotor platforms operated in MIT's RAVEN environment, is used to validate the method.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Robotics and Automation, ICRA 2013
Pages5409-5416
Number of pages8
DOIs
StatePublished - Nov 14 2013
Externally publishedYes
Event2013 IEEE International Conference on Robotics and Automation, ICRA 2013 - Karlsruhe, Germany
Duration: May 6 2013May 10 2013

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2013 IEEE International Conference on Robotics and Automation, ICRA 2013
CountryGermany
CityKarlsruhe
Period5/6/135/10/13

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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