Next Article in Journal
Future Climate Change Conditions May Compromise Metabolic Performance in Juveniles of the Mud Crab Scylla serrata
Previous Article in Journal
Transcriptome Analysis of the Nematodes Caenorhabditis elegans and Litoditis marina in Different Food Environments
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation

Navigation College, Dalian Maritime University, Dalian 116026, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2022, 10(5), 581; https://doi.org/10.3390/jmse10050581
Submission received: 31 March 2022 / Revised: 19 April 2022 / Accepted: 23 April 2022 / Published: 25 April 2022
(This article belongs to the Section Ocean Engineering)

Abstract

In order to further explore more efficient identification algorithms that can solve the ship motion identification modeling problem, a novel identification algorithm for 3-DOF ship maneuvering modeling is proposed in this paper. Based on the recursive least-squares method, the proposed algorithm combines multi-innovation and nonlinear innovation techniques that focus on the innovation’s processing. In addition, its convergence capability is theoretically demonstrated. The identification algorithm shows good accuracy and convergence that is verified by a simulation experiment on a container ship. Furthermore, another simulation experiment using the full mission ship handling simulator demonstrates its generalization capability.
Keywords: parameter identification; 3-DOF; ship maneuvering model; nonlinear multi-innovation parameter identification; 3-DOF; ship maneuvering model; nonlinear multi-innovation

Share and Cite

MDPI and ACS Style

Zhao, B.; Zhang, X.; Liang, C. A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation. J. Mar. Sci. Eng. 2022, 10, 581. https://doi.org/10.3390/jmse10050581

AMA Style

Zhao B, Zhang X, Liang C. A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation. Journal of Marine Science and Engineering. 2022; 10(5):581. https://doi.org/10.3390/jmse10050581

Chicago/Turabian Style

Zhao, Baigang, Xianku Zhang, and Cailei Liang. 2022. "A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation" Journal of Marine Science and Engineering 10, no. 5: 581. https://doi.org/10.3390/jmse10050581

APA Style

Zhao, B., Zhang, X., & Liang, C. (2022). A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation. Journal of Marine Science and Engineering, 10(5), 581. https://doi.org/10.3390/jmse10050581

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop