Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship
Joint Authors
Lin, Xiaogong
Xie, Yehai
Bian, Xinqian
Zhao, Dawei
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xie, Yehai& Lin, Xiaogong& Bian, Xinqian& Zhao, Dawei. 2013. Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032431
Modern Language Association (MLA)
Xie, Yehai…[et al.]. Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1032431
American Medical Association (AMA)
Xie, Yehai& Lin, Xiaogong& Bian, Xinqian& Zhao, Dawei. Multiple Model Adaptive Nonlinear Observer of Dynamic Positioning Ship. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032431
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032431