摘要
针对动力定位船舶水动力参数确定以及传统遗传算法在收敛速度与解的质量之间存在矛盾的问题,设计了一种自适应重组遗传算法,通过辨识仿真试验得到基于MMG模型的水动力参数,并与传统遗传算法以及自适应遗传算法进行相关辨识结果对比,结果表明设计的自适应重组遗传算法在保证收敛速度的情况下,其辨识结果精度有较大的提高。
In order to solve the contradiction between the convergence rate and the solution quality of traditional genetic algorithm,an adaptive recombination genetic algorithm was designed for the determination of hydrodynamic parameters of dynamic positioning ship.The hydrodynamic parameters based on MMG model were obtained by the identification simulation experiment,and the correlation identification results were compared with traditional genetic algorithm and adaptive genetic algorithm. The results show that the designed adaptive recombination genetic algorithm can greatly improve the accuracy of identification results while ensuring the convergence speed.
作者
蒋帆
徐海祥
余文瞾
李文娟
JIANG Fan;XU Haixiang;YU Wenzhao;LI Wenjuan(School of Transportation,Wuhan University of Technology,Wuhan 430063,China;Key Laboratory of High Performance Ship Technology,Wuhan University of Technology,Ministry of Education,Wuhan 430063,China;Marine Equipment Research Institute,Jiangsu University of Science and Technology,Zhenjiang 212003,China)
出处
《武汉理工大学学报（交通科学与工程版）》
2019年第2期276-280,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(5187920)
高性能船舶技术教育部重点实验室开放基金课题(2016gxnc01)
中央高校基本科研业务费专项资金项目(185202007)资助
关键词
动力定位船舶
参数辨识
自适应遗传算子
重组替代策略
dynamic positioning ship
parameter identification
adaptive genetic operator
recombinant substitution strategy
