Dynamic positioning of an uninhabited surface vehicle using state-dependent Riccati equation and pseudospectral method
dc.contributor.author | Huang, H | |
dc.contributor.author | sharma, sanjay | |
dc.contributor.author | Zhuang, Y | |
dc.contributor.author | Xu, D | |
dc.date.accessioned | 2017-03-16T11:48:47Z | |
dc.date.issued | 2017-03-15 | |
dc.identifier.issn | 0029-8018 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/8645 | |
dc.description.abstract |
This paper proposed a novel control method for dynamic positioning of an uninhabited surface vehicle (USV). A state-dependent Riccati equation (SDRE) technique was introduced to deal with dynamic positioning problem of the USV. A new state-dependent coefficient (SDC) matrix was built to show the relationship between variables and satisfy the control inputs saturation for practical application. In order to solve the SDRE in real time, a semi-analytical formulation was derived by using Legendre-Gauss-Radau pseudospectral method. Simulation results show that the proposed method can be applied in real time and the USV can maintain its position and heading accurately and remains stable. | |
dc.format.extent | 215-223 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Elsevier BV | |
dc.subject | Uninhabited surface vehicle | |
dc.subject | Dynamic positioning | |
dc.subject | State-dependent Riccati equation | |
dc.subject | Pseudospectral method | |
dc.title | Dynamic positioning of an uninhabited surface vehicle using state-dependent Riccati equation and pseudospectral method | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000396951200017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.volume | 133 | |
plymouth.publication-status | Published | |
plymouth.journal | Ocean Engineering | |
dc.identifier.doi | 10.1016/j.oceaneng.2017.02.004 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2017-02-06 | |
dc.rights.embargodate | 2018-2-16 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1016/j.oceaneng.2017.02.004 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2017-03-15 | |
rioxxterms.type | Journal Article/Review |