Please use this identifier to cite or link to this item: https://doi.org/10.1109/UT.2013.6519846
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dc.titleOnline system identification of the dynamics of an Autonomous Underwater vehicle
dc.contributor.authorHong, E.Y.
dc.contributor.authorMeng, T.K.
dc.contributor.authorChitre, M.
dc.date.accessioned2014-10-07T10:27:13Z
dc.date.available2014-10-07T10:27:13Z
dc.date.issued2013
dc.identifier.citationHong, E.Y.,Meng, T.K.,Chitre, M. (2013). Online system identification of the dynamics of an Autonomous Underwater vehicle. 2013 IEEE International Underwater Technology Symposium, UT 2013 : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/UT.2013.6519846" target="_blank">https://doi.org/10.1109/UT.2013.6519846</a>
dc.identifier.isbn9781467359481
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87359
dc.description.abstractAutonomous Underwater vehicles (AUV) with reconfigurable payloads are rapidly becoming common. Their dynamic characteristics are affected when payloads change. Typically, retuning of the controller is required to maintain good control performance. To address this situation, we develop a technique to enable rapid identification of AUV dynamics online. We demonstrate the technique with a fin-controlled single-thruster torpedo-shaped AUV. By decoupling the system according to planar and horizontal motion, mathematical models for yaw and pitch dynamics are developed. This results in a second-order transfer function with auxiliary steady state fin deflection. Identification of continuous-time model was performed to preserve the physical meaning of the parameters. Identification in continuous-time requires time-derivative terms which are reconstructed using the state variable filter (SVF). Then, recursive least-square (RLS) algorithm is used to identify the unknown parameters. The proposed identification method was validated through field deployments of our AUVs. The online estimates compare favorably with results obtained from offline identification methods requiring numerical optimization. We demonstrate how turning radius of the AUV can be estimated accurately from the identified parameters. We also show how a gain-scheduled controller, with better control performance than a constant-gain controller, can be designed using the estimated parameters. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/UT.2013.6519846
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentTROPICAL MARINE SCIENCE INSTITUTE
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1109/UT.2013.6519846
dc.description.sourcetitle2013 IEEE International Underwater Technology Symposium, UT 2013
dc.description.page-
dc.identifier.isiutNOT_IN_WOS
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