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On the Identification of Coupled Pitch and Heave Motions Using Opposition-Based Particle Swarm Optimization
Joint Authors
Feng, Shanshan
Dai, Yuntao
Liu, Li-Qiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A mathematical model must be established to study the motions of ships in order to control them effectively.
An assessment of the model depends on the accuracy of hydrodynamic parameters.
An algorithm for the parameter identification of the coupled pitch and heave motions in ships is, thus, put forward in this paper.
The algorithm proposed is based on particle swarm optimization (PSO) and the opposition-based learning theory known as opposition-based particle swarm optimization (OPSO).
A definition of the opposition-based learning algorithm is given first of all, with ideas on how to improve this algorithm and its process being presented next.
Secondly, the design of the parameter identification algorithm is put forward, modeling the disturbing force and disturbing moment of the identification system and the output parameters of the identification system.
Then, the problem involving the hydrodynamic parameters of motions is identified and the coupled pitch and heave motions of a ship described as an optimization problem with constraints.
Finally, the numerical simulations of different sea conditions with unknown parameters are carried out using the PSO and OPSO algorithms.
The simulation results show that the OPSO algorithm is relatively stable in terms of the hydrodynamic parameters identification of the coupled pitch and heave motions.
American Psychological Association (APA)
Dai, Yuntao& Liu, Li-Qiang& Feng, Shanshan. 2014. On the Identification of Coupled Pitch and Heave Motions Using Opposition-Based Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-497788
Modern Language Association (MLA)
Dai, Yuntao…[et al.]. On the Identification of Coupled Pitch and Heave Motions Using Opposition-Based Particle Swarm Optimization. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-497788
American Medical Association (AMA)
Dai, Yuntao& Liu, Li-Qiang& Feng, Shanshan. On the Identification of Coupled Pitch and Heave Motions Using Opposition-Based Particle Swarm Optimization. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-497788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497788