兰州理工大学学报 ›› 2024, Vol. 50 ›› Issue (2): 31-35.

• 机械工程与动力工程 • 上一篇    下一篇

基于遗传算法的风电齿轮传动系统参数优化设计

王保民*, 闫瑞翔, 房文博, 赵瑞平, 刘洪芹   

  1. 兰州理工大学 机电工程学院, 甘肃 兰州 730050
  • 收稿日期:2022-06-06 出版日期:2024-04-28 发布日期:2024-04-29
  • 通讯作者: 王保民(1972-),男,甘肃天水人,博士,教授.Email:wbm2007@163.com
  • 基金资助:
    国家自然科学基金(51965038)

Parameter optimization design of gear transmission system in wind turbine based on genetic algorithm

WANG Bao-min, YAN Rui-xiang, FANG Wen-bo, ZHAO Rui-ping, LIU Hong-qin   

  1. School of Mechanical and Electrical Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China
  • Received:2022-06-06 Online:2024-04-28 Published:2024-04-29

摘要: 齿轮箱是风力发电系统的重要部件,其体积大、重量高等问题制约了风电清洁能源的发展.以1.5 WM风力发电机组为研究对象,建立齿轮传动系统轻量化数学模型,并采用遗传算法进行优化求解.结果表明,采用遗传算法是可行的,优化后齿轮传动系统体积减少了4.59%,这将进一步减小齿轮传动系统箱体体积和总质量.通过计算行星轮系的传动效率,验证了优化结果的可行性,该研究将为风电齿轮传动系统轻量化设计提供新方法.

关键词: 风电齿轮箱, 优化设计, 传动系统, 遗传算法, 传动效率

Abstract: The gearbox is an important component of the wind turbine generation system. However, its large volume and high weight pose significant constraints on the development of wind turbine. Taking the 1.5 MW wind turbine as the research object, a mathematical model is established for the lightweight optimization of the gear transmission system, and the genetic algorithm is used to solve the optimization. The optimization results show that the genetic algorithm is practicable and effective, with a reduction of 4.59% in the volume of the optimization gear transmission system, which consequently to the diminution of both the volume and the total mass of the gearbox system. The feasibility of the optimization results is verified by the transmission efficiency of the planetary gear transmission system. The paper provides a new approach to the lightweight design of gear transmission systems in wind turbines.

Key words: wind turbine gearbox, optimal design, transmission system, genetic algorithm, transmission efficiency

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