Abstract
An extended Kalman filter is used to tackle the problem of parameter identification of an autonomous underwater vehicle (AUV). Since a large number of parameters must be identified, two alternative sub-approaches are investigated. A classical approach seems to have a better performance in cases where a specific parameter will be identified. However, a modified approach guarantees a better identification when dealing with multiple parameters. A sway/yaw mathematical model for an AUV is obtained considering motions in the horizontal plane. Circular and zig-zag maneuvers are tested to assess the identification approaches employed. Results are presented and analysed.
Original language | English |
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Title of host publication | Proceedings of the 8th International IFAC Conference on Manoeuvring and Control of Marine Craft, MCMC 2009 |
Publisher | IFAC Secretariat |
Pages | 72-77 |
Number of pages | 6 |
ISBN (Print) | 9783902661517 |
DOIs | |
State | Published - 2009 |
Externally published | Yes |
Publication series
Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
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ISSN (Print) | 1474-6670 |
Bibliographical note
Funding Information:This work is funded by the Brazilian Council, FAPESP.
Funding Information:
The authors express their acknowledgments to FAPESP for the financial support given to this work.
Keywords
- AUV
- EKF
- Kalman filter
- Mathematical modelling
- Parameter identification