传统船-机-桨参数匹配还停留在图谱法研究中，不能满足船舶精细化设计要求，为此提出一种船-机-桨参数匹配的新方法。首先，基于船-机-桨匹配动态数学模型构建船-机-桨参数匹配的多目标优化模型；其次，以最小化发动机燃油消耗、最大化推进系统效率及最小化燃烧物排放为目标函数；然后，采用改进的多目标北方苍鹰优化算法（IMONGO）计算船-机-桨匹配参数。最后，使用排序优选技术(TOPSIS)对Pareto解集的性能进行排序，选出排序靠前的匹配参数组合。通过试验验证，燃油消耗率降低5.97％，发动机燃烧物排放中氮氧化物排放体积比降低19.49％，碳烟（soot）排放质量分数降低20.1％，船舶推进系统效率提高到0.59，优化的船-机-桨匹配参数对实际工程设计具有巨大参考价值。
In view of the fact that the traditional ship-engine-propeller parameter matching still remains in the study of mapping method, which cannot meet the requirements of ship refinement design, a new method of ship-engine-propeller parameter matching is proposed. Firstly, a multi-objective optimization model for ship-engine-propeller parameter matching is constructed based on the dynamic mathematical model of ship-engine-propeller matching; secondly, the objective function of minimizing engine fuel consumption, maximizing propulsion system efficiency and minimizing combustion emissions is adopted; then, the improved multi-objective northern hawk optimization algorithm (IMONGO) is used to calculate the ship-engine-propeller matching parameters; finally, the ranking preference technique (TOPSIS) to rank the performance of the Pareto solution set and select the top ranked matching parameter combination. Through experimental verification, the fuel consumption rate is reduced by 5.97%, the NOx emission volume ratio in engine combustion emissions is reduced by 19.49%, the carbon soot emission mass fraction is reduced by 20.1%, and the ship propulsion system efficiency is improved to 0.59. The optimized ship-machine-propeller matching parameters have great reference value for practical engineering design.
2023,45(23): 108-114 收稿日期：2022-09-21
DOI：10.3404/j.issn.1672-7649.2023.23.019
分类号：U677.2
基金项目：广东省海洋经济发展专项资金资助项目（JCKY2021414B011）
作者简介：张增鑫(1998-),男,硕士研究生,研究方向为船舶建造工艺及其装备开发
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