Parameter identification of an autonomous quadrotor

Parameter identification of an autonomous quadrotor

This paper describes one of possible parameter identification approach for a quadrotor. The unknown parameter of the quadrotor will be identified using state estimation method with the implementation of Unscented Kalman Filter (UKF). In the identification of state and parameter for nonlinear dynam...

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Main Authors: Abas, Norafizah, Legowo, Ari, Akmeliawati, Rini
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
TJ212 Control engineering
Online Access:http://irep.iium.edu.my/5390/
http://irep.iium.edu.my/5390/
http://irep.iium.edu.my/5390/
http://irep.iium.edu.my/5390/1/icom11_fiza_quadrotor.pdf
id iium-5390
recordtype eprints
spelling iium-53902012-05-08T01:13:36Z http://irep.iium.edu.my/5390/ Parameter identification of an autonomous quadrotor Abas, Norafizah Legowo, Ari Akmeliawati, Rini TJ212 Control engineering This paper describes one of possible parameter identification approach for a quadrotor. The unknown parameter of the quadrotor will be identified using state estimation method with the implementation of Unscented Kalman Filter (UKF). In the identification of state and parameter for nonlinear dynamic system, UKF has grown to be superior techniques. Two main processes highlighted in this paper are dynamic modeling of quadrotor and the implementation of UKF algorithm. The aim is to identify and estimate the needed parameters for an autonomous quadrotor. The obtained results demonstrate the performance of UKF based on the flight test applied to the quadrotor system. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5390/1/icom11_fiza_quadrotor.pdf Abas, Norafizah and Legowo, Ari and Akmeliawati, Rini (2011) Parameter identification of an autonomous quadrotor. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICOM.2011.5937198 doi:10.1109/ICOM.2011.5937198
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Abas, Norafizah
Legowo, Ari
Akmeliawati, Rini
Parameter identification of an autonomous quadrotor
description This paper describes one of possible parameter identification approach for a quadrotor. The unknown parameter of the quadrotor will be identified using state estimation method with the implementation of Unscented Kalman Filter (UKF). In the identification of state and parameter for nonlinear dynamic system, UKF has grown to be superior techniques. Two main processes highlighted in this paper are dynamic modeling of quadrotor and the implementation of UKF algorithm. The aim is to identify and estimate the needed parameters for an autonomous quadrotor. The obtained results demonstrate the performance of UKF based on the flight test applied to the quadrotor system.
format Conference or Workshop Item
author Abas, Norafizah
Legowo, Ari
Akmeliawati, Rini
author_facet Abas, Norafizah
Legowo, Ari
Akmeliawati, Rini
author_sort Abas, Norafizah
title Parameter identification of an autonomous quadrotor
title_short Parameter identification of an autonomous quadrotor
title_full Parameter identification of an autonomous quadrotor
title_fullStr Parameter identification of an autonomous quadrotor
title_full_unstemmed Parameter identification of an autonomous quadrotor
title_sort parameter identification of an autonomous quadrotor
publishDate 2011
url http://irep.iium.edu.my/5390/
http://irep.iium.edu.my/5390/
http://irep.iium.edu.my/5390/
http://irep.iium.edu.my/5390/1/icom11_fiza_quadrotor.pdf
first_indexed 2023-09-18T20:13:58Z
last_indexed 2023-09-18T20:13:58Z
_version_ 1777407663446949888

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