基于遗传算法的水平轴海流发电机叶片优化方法  

Optimization Approach from Hydrofoils to Blades of the Horizontal Axis Marine Current Turbines Based on Genetic Algorithm

作　　者：余龙[1,2,3] 周诗尧 李航 

机构地区：[1]海洋工程国家重点实验室(上海交通大学),上海200240 [2]高新船舶与深海开发装备协同创新中心(船海协创中心),上海200240 [3]上海交通大学船舶海洋与建筑工程学院,上海200240 [4]中国舰船研究设计中心,武汉430064

出　　处：《船舶工程》2017年第10期82-87,共6页Ship Engineering

基　　金：国家重点基础研究发展计划(973)(2014CB046200)

摘　　要：提出一种基于遗传算法优化(GA)的水平轴海流发电机叶片优化方法,采用Xfoil和BEMT作为分析工具,适用于二维翼型和三维叶片的多目标优化,并以此为基础编写一套叶片优化程序。该优化方法在增加叶片获能效率和减小推力方面具有显著效果,同时对于翼型性能的提升也同样出色。The paper presents an optimization approach for both hydrofoils and blades, which has been developed based on genetic algorithm（GA）.The GA code controlled Xfoil is applied to analyze the hydrofoils lift and drag while the blade element momentum theory is applied for the blade analysis. The geometry of both blade and hydrofoils are optimized holistically. An optimum design for blade with variable setting angle is obtained, and the performance of optimized blade in shear flow is evaluated as well.

关 键 词：遗传算法 水平轴海流发电机 翼型优化 叶片优化 叶素动量理论 

分 类 号：P743.1[天文地球—海洋科学] TM612[电气工程—电力系统及自动化]