| 基于多目标遗传算法的潮流能水轮机专用翼型优化设计 |
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| 引用本文： | 谭俊哲,边冰冰,司先才,王树杰,袁鹏.基于多目标遗传算法的潮流能水轮机专用翼型优化设计[J].中国海洋大学学报(自然科学版),2020,50(7):127-134. |
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| 作者姓名： | 谭俊哲 边冰冰 司先才 王树杰 袁鹏 |
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| 作者单位： | 中国海洋大学工程学院,山东 青岛 266100;青岛市海洋可再生能源重点实验室,山东 青岛 266100;中国海洋大学工程学院,山东 青岛 266100 |
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| 基金项目： | 山东省自然科学基金;国家自然科学基金 |
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| 摘 要： | 根据潮流能水轮机的工作条件与技术要求,开发新型潮流能水轮机叶片专用翼型。建立多目标优化模型,采用遗传算法进行寻优求解,得到最大相对厚度范围为12.6%~38.8%的五种新翼型,构成潮流能水轮机叶片专用翼型族系列。开发了水平轴潮流能水轮机设计软件,搭建潮流能水轮机叶片翼型数据库,通过在潮流能水轮机设计软件中调用叶片翼型数据,为潮流能水轮机叶片设计提供方便。
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| 关 键 词： | 潮流能水轮机 专用翼型 多目标优化 遗传算法 数据库 |
Special Hydrofoil Optimization Design of Tidal Turbine Based on Multi-objective Genetic Algorithm |
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| TAN Jun-Zhe,BIAN Bing-Bing,SI Xian-Cai,WANG Shu-Jie,YUAN Peng.Special Hydrofoil Optimization Design of Tidal Turbine Based on Multi-objective Genetic Algorithm[J].Periodical of Ocean University of China,2020,50(7):127-134. |
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| Authors: | TAN Jun-Zhe BIAN Bing-Bing SI Xian-Cai WANG Shu-Jie YUAN Peng |
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| Institution: | (College of Engineering, Ocean University of China, Qingdao 266100, China;Ocean Engineering Key Lab of Shandong Province, Qingdao 266100, China) |
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| Abstract: | According to the working conditions and technical requirements of the tidal turbine,the new special hydrofoils for tidal turbine blades have been developed.The multi-objective optimization model was established by using genetic algorithm to seek optimization solution,five kinds of new hydrofoil with the maximum relative thickness of which ranged from 12.6%to 38.8%were obtained,and the special tidal turbine blade hydrofoil family was built accordingly.The horizontal axis tidal turbine design software HAT Design was developed,and a database for the special hydrofoil family was also built by using the SQL Server,which included the basic hydrofoil parameters.In the horizontal axis tidal turbine design software HAT Design,data of the optimized parameters of the hydrofoils in the database can be easily accessed for tidal turbine blade designing.Research work in this paper could be used as a reference for applying database in tidal current energy converter designing. |
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| Keywords: | horizontal tidal turbine special hydrofoil of tidal turbine multi-objective optimization genetic algorithm database |
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