Augmented-MRAC for quadrotor UAVs with parameter change

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Abstract

Multirotor unmanned aerial vehicles (MAVs) with the capability of interaction with their surroundings have recently received increasing attention. However, the rapid change parameters during flight present a challenge for the stable control of MAVs. In this paper, the baseline controller of a quadrotor is developed based on classical model reference adaptive control (MRAC) and an identifier is introduced to cope with the uncertainty in parameters. Specifically, the recursive least squares method with forgetting factor (FFRLS) is used to design the identifier. Both the baseline MRAC controller and augmented-MRAC controller are simulated to verify their effectiveness. The results show the improvements on stability in the presence of parameter change.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages501-506
Number of pages6
ISBN (Electronic)9781509020652
DOIs
StatePublished - 26 Sep 2016
Event2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada
Duration: 12 Jul 201615 Jul 2016

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2016-September

Conference

Conference2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Country/TerritoryCanada
CityBanff
Period12/07/1615/07/16

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