|本期目录/Table of Contents|

[1]顾民,甄荣,王树武,等.基于改进野马算法的船舶二阶非线性响应型模型参数辨识[J].集美大学学报(自然科学版),2026,31(4):435-448.
　GU Min,ZHEN Rong,WANG Shuwu,et al.Parameter Identification of Ship Maneuvering Response Models Based on an Improved Wild Horse Optimization Algorithm[J].Journal of Jimei University,2026,31(4):435-448.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第31卷
期数:
2026年第4期
页码:
435-448
栏目:
船海与交通运输工程
出版日期:
2026-07-28

文章信息/Info

Title:
Parameter Identification of Ship Maneuvering Response Models Based on an Improved Wild Horse Optimization Algorithm
作者:
顾民; 甄荣; 王树武; 张钊
（集美大学航海学院，福建 厦门361021）
Author(s):
GU Min; ZHEN Rong; WANG Shuwu; ZHANG Zhao
（Navigation College of Jimei University,Xiamen 361021,China）
关键词:
参数辨识; 响应型模型; 船舶运动建模; 改进野马算法
Keywords:
unmanned parameter identification; response model; ship motion modeling; improved wild horse optimizer（IWHO）
分类号:
-
DOI:
-
文献标志码:
A
摘要:
针对现有船舶二阶非线性响应型模型参数辨识研究中存在辨识精度低、泛化性较低、流程复杂的问题，提出一种基于改进野马算法（improved wild horse optimization，IWHO）的参数辨识方法。通过引入基于饥饿游戏搜索算法改进的Tent惯性权重，结合折射镜像学习及算子扰动策略，构建船舶二阶非线性响应型模型参数辨识方法，提高船舶响应型模型参数的辨识效率和精度。以Mariner船舶模型为研究对象，用本IWHO进行船舶二阶非线性响应型模型参数辨识，与现有的扩展卡尔曼滤波（extended Kalman filter，EKF）算法进行对比，验证本算法在该场景下辨识的优越性。研究结果表明：本IWHO辨识的船舶操纵响应型模型参数能将舵角的均方根误差控制在1°左右，位置坐标的相关系数趋近于1，优于野马算法(wild horse optimization，WHO)及EKF算法。
Abstract:
Aiming at the problems of low identification accuracy,poor generalization of identification results,and complex identification process existing in the parameter identification research of the existing ship second-order nonlinear response model,this paper proposes a parameter identification method based on the improved wild horse optimization (IWHO) algorithm.The parameter identification process is optimized by employing the IWHO algorithm.A Tent inertial weight based on the hunger games mechanism is integrated to regulate global exploration and local exploitation capabilities.Refraction mirror learning strategy and operator perturbation are incorporated to accelerate convergence and prevent stagnation in local optima,a method for identifying parameters of a ship’s second-order nonlinear response model is constructed,thereby improving the identification efficiency and accuracy of ship response model parameters.The Mariner ship model is taken as the research object.The IWHO is applied for parameter identification of the ship’s second-order nonlinear response model,which is compared with the existing extended Kalman filter (EKF) algorithm to verify the superiority of the proposed algorithm in this scenario.The research results show that the parameters of the ship maneuvering response model identified based on the IWHO can control the root mean square error (RMSE) of the rudder angle at approximately 1°,and the correlation coefficient of the position coordinates approaches 1,which is superior to those of the wild horse optimization (WHO) algorithm and the EKF algorithm.

参考文献/References:

相似文献/References:

[1]蒋柳杨,孙洪波,张春雨,等.船舶运动模型辨识在海事事故复现中的应用[J].集美大学学报(自然科学版),2025,(2):141.
　JIANG Liuyang,SUN Hongbo,ZHANG Chunyu,et al.Application of Ship Motion Model Identification to Maritime Accident Reproduction[J].Journal of Jimei University,2025,(4):141.

备注/Memo

备注/Memo:
更新日期/Last Update: 2026-09-07