Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship
Considering the filtering problem of dynamic positioning (DP) ship for the slowly varying sea state, a multiple model adaptive observer (MMAO) for dynamic positioning ship is presented. The MMAO consists of a bank of nonlinear subobserver and a dynamic weighting signal generator, in which each sub-o...
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| Veröffentlicht in: | Mathematical problems in engineering 2013-01, Vol.2013 (2013), p.1-10 |
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| container_title | Mathematical problems in engineering |
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| creator | Zhao, Dawei Bian, Xinqian Lin, Xiaogong Xie, Yehai |
| description | Considering the filtering problem of dynamic positioning (DP) ship for the slowly varying sea state, a multiple model adaptive observer (MMAO) for dynamic positioning ship is presented. The MMAO consists of a bank of nonlinear subobserver and a dynamic weighting signal generator, in which each sub-observer is designed based on different peak frequency of wave spectrum model. To improve the performance of the observer, subobserver using the measurement of position, velocity, and acceleration is used to update the estimated velocity of ship. The observer parameters are optimized using particle swarm optimization (PSO). Finally, the method is verified effective by the computer simulation. |
| doi_str_mv | 10.1155/2013/893081 |
| format | Article |
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The MMAO consists of a bank of nonlinear subobserver and a dynamic weighting signal generator, in which each sub-observer is designed based on different peak frequency of wave spectrum model. To improve the performance of the observer, subobserver using the measurement of position, velocity, and acceleration is used to update the estimated velocity of ship. The observer parameters are optimized using particle swarm optimization (PSO). Finally, the method is verified effective by the computer simulation.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2013/893081</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adaptive filters ; Automation ; Computer simulation ; Control theory ; Controllers ; Design ; International conferences ; Kinematics ; Mathematical models ; Mathematical problems ; Neural networks ; Noise ; Nonlinear dynamics ; Nonlinearity ; Observers ; Particle swarm optimization ; Peak frequency ; Performance enhancement ; Position measurement ; Ships ; Signal generators ; Signal processing ; Simulation ; Swarm intelligence ; Velocity</subject><ispartof>Mathematical problems in engineering, 2013-01, Vol.2013 (2013), p.1-10</ispartof><rights>Copyright © 2013 Yehai Xie et al.</rights><rights>Copyright © 2013 Yehai Xie et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c347t-a405423281e1fa3aa5824abe4eb1e648fc0e12f037f4b43205e1c7bb5977a18d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>Zhang, Lijun</contributor><creatorcontrib>Zhao, Dawei</creatorcontrib><creatorcontrib>Bian, Xinqian</creatorcontrib><creatorcontrib>Lin, Xiaogong</creatorcontrib><creatorcontrib>Xie, Yehai</creatorcontrib><title>Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship</title><title>Mathematical problems in engineering</title><description>Considering the filtering problem of dynamic positioning (DP) ship for the slowly varying sea state, a multiple model adaptive observer (MMAO) for dynamic positioning ship is presented. 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| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Adaptive filters Automation Computer simulation Control theory Controllers Design International conferences Kinematics Mathematical models Mathematical problems Neural networks Noise Nonlinear dynamics Nonlinearity Observers Particle swarm optimization Peak frequency Performance enhancement Position measurement Ships Signal generators Signal processing Simulation Swarm intelligence Velocity |
| title | Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship |
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