Performance analysis of a kalman filter based attitude estimator for a Quad Rotor UAV

dc.contributor.authorAbeywardena, DMW
dc.contributor.authorMunasinghe, SR
dc.date.accessioned2017-02-08T09:03:09Z
dc.date.available2017-02-08T09:03:09Z
dc.description.abstractThis paper analyzes the performance of an Extended Kalman Filter (EKF) based attitude estimator for a Quad Rotor Unmanned Aerial Vehicle (QRUAV). A non-linear dynamic model of the QRUAV, simulated in Matlab was complemented with an EKF based attitude estimator. The estimator fuses measurements obtained from simulated accelerometers and gyroscopes onboard the QRUAV. It is then shown that this estimator only results in adequate representation of the attitude when the translational velocity is large. This behavior is explained considering the dynamics of the vehicle and the onboard accelerometers. Also a possible method of exploiting this behavior for improving the estimation accuracy is suggested.en_US
dc.identifier.conferenceInternational Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT - 2010)en_US
dc.identifier.departmentDepartment of Electronic and Telecommunication Engineeringen_US
dc.identifier.emaildinuka@ent.mrt .ac.lken_US
dc.identifier.emailrohan@ent.mrt.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 466 - 471en_US
dc.identifier.placeMoscowen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/12365
dc.identifier.year2010en_US
dc.language.isoenen_US
dc.relation.uri10.1109/ICUMT.2010.5676596en_US
dc.titlePerformance analysis of a kalman filter based attitude estimator for a Quad Rotor UAVen_US
dc.typeConference-Abstracten_US

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