自动化与仪器仪表2024,Issue(3) :235-240.DOI:10.14016/j.cnki.1001-9227.2024.03.235

基于改进遗传算法的动力定位船舶推力分配研究

Research on DP Ship Thrust Allocation Based on Improved Genetic Algorithm

丁强 邓芳 杜治宇 张翰林 侯秀慧
自动化与仪器仪表2024,Issue(3) :235-240.DOI:10.14016/j.cnki.1001-9227.2024.03.235

基于改进遗传算法的动力定位船舶推力分配研究

Research on DP Ship Thrust Allocation Based on Improved Genetic Algorithm

丁强 1邓芳 1杜治宇 1张翰林 1侯秀慧1
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作者信息

  • 1. 青岛科技大学机电工程学院,青岛 266061
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摘要

针对船舶动力定位非凸约束非线性推力分配优化问题,首先建立了推进器功率消耗、磨损、推力误差的优化目标函数,然后分析约束条件,给出优化问题约束不等式,最后将邻域搜索引入遗传算法求解所定义推力分配问题.仿真结果表明该算法对于求解非凸约束非线性推力分配问题具有较强可行性与准确性,能有效降低推进系统功耗,提高船舶动力定位性能.

Abstract

For the non-convex constrained nonlinear optimization problem of DP ship thrust allocation,the optimization objective function considering thruster power consumption,wear and tear,and thrust allocation error is first established,taking into account the constraint inequalities due to thruster constraints.Moreover,the neighborhood search is introduced into the genetic algorithm to solve the defined thrust allocation optimization problem.The simulation results show that this algorithm has strong feasibility and accuracy for solving non-convex constrained nonlinear thrust allocation problems,which can effectively reduce propulsion system power con-sumptions and improve the ship dynamic positioning performance.

关键词

动力定位/推力分配/改进遗传算法/非凸约束非线性优化/邻域搜索

Key words

dynamic positioning/thrust allocation/improved genetic algorithm/non-convex constrained nonlinear optimization/neighborhood search

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基金项目

国家自然科学基金(52101401)

出版年

2024
自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
参考文献量8
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