Optimal Thrust Allocation Strategy of Electric Propulsion Ship Based on Improved Non-Dominated Sorting Genetic Algorithm II

被引：17

作者：

Gao, Diju ^{[1
]}

Wang, Xuyang ^{[1
]}

Wang, Tianzhen ^{[1
]}

Wang, Yide ^{[1
,2
]}

Xu, Xiaobin ^{[3
]}

机构：

[1] Shanghai Maritime Univ, Key Lab Marine Technol & Control Engn, Minist Transport, Shanghai 201306, Peoples R China

[2] Univ Nantes, UMR 6164, Inst Elect & Telecommun Rennes, CNRS, F-44300 Nantes, France

[3] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 100084, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Attitude control; Marine vehicles; Propellers; Resource management; Optimization; Azimuth; Electric propulsion; multi-azimuth thruster; thrust allocation; optimization; NSGA-II; OPTIMIZATION; VARIANTS; SYSTEMS;

D O I：

10.1109/ACCESS.2019.2942170

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The azimuth thruster is widely used in electric propulsion ships due to its excellent performance. The thrust allocation (TA) method of multi-azimuth thruster is the key technology in ship motion control. The purpose of TA is to accurately distribute the thrust and angle of each thruster to provide the vessel the required force and moment. A TA strategy based on the improved non-dominated sorting genetic algorithm II (INSGA-II) is developed in this study. The algorithm introduces the differential mutation operator in the differential evolution (DE) to replace the polynomial variation in NSGA-II, which improves the local optimization ability of the algorithm. The effectiveness of the TA strategy based on INSGA-II algorithm is illustrated by simulations.

引用

页码：135247 / 135255

页数：9

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