Adaptive second-order sliding mode observer for quadrotor attitude estimation

Jing Chang, Jérôme Cieslak, Jorge Dávila, Ali Zolghadri, Jun Zhou

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

12 Scopus citations

Abstract

The problem studied in this paper is that of quadrotor attitude estimation using an adaptive second-order sliding mode (SM) observer. The gains are dynamically adapted to the sliding motion to ensure the convergence of observer error to the sliding manifold in the finite time. Position measurements of quadrotor are used in this adaptive SM observer to provide the pitch and roll angle estimates that are robust to the accelerometer and/or gyroscope faults. In addition, the observer is extended for the case where position measurements are corrupted by bias and noise. Simulation results illustrate the benefits of the proposed techniques compared to kalman and complementary filter.

Original languageEnglish
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2246-2251
Number of pages6
ISBN (Electronic)9781467386821
DOIs
StatePublished - 28 Jul 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: 6 Jul 20168 Jul 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Conference

Conference2016 American Control Conference, ACC 2016
Country/TerritoryUnited States
CityBoston
Period6/07/168/07/16

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