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基于遗传算法的船舶调距桨自动控制方法研究
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(海军装备部,上海 201913)

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蔚龙腾,男,1987年生,助理工程师,研究方向为船舶轮机工程。

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Research on Automatic Control Method of Marine Controllable Pitch Propeller Based on Genetic Algorithm
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(Naval Equipment Department,Shanghai 201913,China)

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    摘要:

    针对现有船舶调距桨控制方法载荷波动范围较大的问题,提出基于遗传算法的船舶调距桨自动控制方法。首先设计 PID控制器;其次应用遗传算法优化 PID参数,以确定不同工况下的最优螺距角与转速组合,确保调距桨始终高效运行。测试结果表明,所提方法应用后,叶片 1—叶片 4的叶根弯矩均保持在 3 000 kN·m以下,调距桨各叶片的叶根载荷波动幅度符合预期要求;艉柱附近基座结构的附加荷载数值均保持在允许范围内,有效提升了船舶在复杂航行环境下的运行稳定性与可靠性。

    Abstract:

    Aiming at the problem of large load fluctuation range in existing control methods for marine controllable pitch propellers,an automatic control method for marine controllable pitch propellers based on genetic algorithm is proposed. Firstly, a PID controller is designed. Secondly,the genetic algorithm is applied to optimize PID parameters to determine the optimalcombination of pitch angle and rotational speed under different working conditions,so as to ensure that the marine controllable pitch propeller operates efficiently at all times. Test results show that after the application of the proposed method,the root bending moments of blade 1 to blade 4 are all kept below 3 000 kN·m,and the load fluctuation amplitudes at the blade roots ofthe marine controllable pitch propeller meet the expected requirements. The additional loads of the foundation structure near thestern post are all kept within the allowable range,which effectively improves the operational stability and reliability of ships in complex navigation environments.

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  • 在线发布日期: 2026-06-03
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