The Optimization Design of Spiral Springs of Mechanical Energy Storage of the Wind Power Generator Based on Genetic Algorithm
-
摘要: 平面涡卷弹簧是风力发电机械储能机构中的关键零部件,其性能与弹簧几何尺寸等参数有关。为了提高风力发电机械储能效率,要求弹簧在满足力学性能的基础上,实现体积小、质量轻的设计目标。利用遗传算法自动寻优的特点,以体积最小为设计目标,通过研究,构建了基于遗传算法风力发电机械储能机构涡卷弹簧优化设计模型,并应用构建的优化设计模型,进行了实例设计计算,设计后的涡卷弹簧与传统优化设计相比,工作性能得到了进一步提高。Abstract: The fiat spiral spring is the key component of wind power mechanical energy storage sector, the perform-ance of it is directly related to the geometric size of the spring and other paramenters. In order to improve the effi-ciency of wind power mechanical energy storage, it demands that the spring should meet the requirement of the me-chanical properties, and achieve the design goal of the small size and light weight. In this paper, genetic algorithm is adopted for its advantage of automatic optimization to build the optimization design model of the mechanical ener-gy storage spiral spring in which the smallest volume is used as the design goal. Design example shows that using this optimization model, the performance of the present designed spiral springs has been improved compared with that of traditional designed ones.
-
[1] 贾宏新等.储能技术在风力发电系统中的应用[J].可再生能源,2009,27(6):10～15 [2] 陈伦军等.机械优化设计遗传算法[M].北京:机械工业出版社,2005,3 [3] 雷英杰.Matlab遗传算法工具箱及应用[M].西安:西安电子科技大学出版社,2005 [4] 黄飞等.基于遗传算法的盘式制动器碟形弹簧优化设计[J].机械设计与制造,2009,(5):26～28 [5] 张英会.弹簧手册[M].北京:机械工业出版社,2010 [6] 罗军明.工程材料及热处理[M].北京:北京航空航天大学出版社,2010 [7] 曹岩.现代设计方法[M].西安:西安电子科技大学出版社,2010 -
点击查看大图
计量
- 文章访问数: 167
- HTML全文浏览量: 18
- PDF下载量: 4
- 被引次数: 0
下载:
