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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5390/ http://irep.iium.edu.my/5390/1/icom11_fiza_quadrotor.pdf |
| _version_ | 1848776494681161728 |
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| author | Abas, Norafizah Legowo, Ari Akmeliawati, Rini |
| author_facet | Abas, Norafizah Legowo, Ari Akmeliawati, Rini |
| author_sort | Abas, Norafizah |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:30:59Z |
| format | Proceeding Paper |
| id | iium-5390 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:30:59Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | TJ212 Control engineering Abas, Norafizah Legowo, Ari Akmeliawati, Rini Parameter identification of an autonomous quadrotor |
| title | 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_short | Parameter identification of an autonomous quadrotor |
| title_sort | parameter identification of an autonomous quadrotor |
| topic | TJ212 Control engineering |
| 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 |