OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM

WANG YongDing; QIAN YingJuan

doi:10.16579/j.issn.1001.9669.2021.04.013

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OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM

更新时间：2022-09-22

- OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM
- Journal of Mechanical Strength Vol. 43, Issue 4, Pages: 849-855(2021)
- 作者机构：
  
  1. 上海海洋大学工程学院
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2021.04.013
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WANG YongDing, QIAN YingJuan. OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM. [J]. 43(4):849-855(2021)
DOI：

WANG YongDing, QIAN YingJuan. OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM. [J]. 43(4):849-855(2021) DOI： 10.16579/j.issn.1001.9669.2021.04.013.

摘要

为提高垂直轴变攻角水轮机的能量利用率,建立了叶片偏角变化规律的数学优化模型,以叶片偏角随位置角的变化为设计参数,以水轮机能量利用率为目标函数,采用遗传算法结合序列二次规划的方法进行优化计算,在此基础上得到最适合的叶片偏角变化规律。对摆线式水轮机在不同速比下的偏角进行优化,得到优化后的偏角规律,结果显示,水轮机在混合遗传算法优化后的偏角规律下,能量利用率较原摆线式水轮机相比有所提高。

Abstract

In order to improve the energy utilization rate of the vertical axis variable angle of attack turbine,a mathematical optimization model of the blade declination angle variation rule was established,using the blade declination angle change with the position angle as the design parameter,the turbine energy utilization rate as the objective function,and genetic algorithm Combined with the method of sequential quadratic programming,the optimization calculation is carried out,and on this basis,the most suitable blade declination variation law is obtained. The deflection angle of the cycloid turbine at different speed ratios is optimized to obtain the optimized declination law. The results show that the energy utilization rate of the hydroturbine is better than that of the original cycloid turbine under the declination law optimized by the hybrid genetic algorithm. The ratio has improved.

关键词

垂直轴水轮机偏角优化SQP遗传算法

Keywords

Vertical axis turbineDeflection optimizationSequence quadratic program（SQP）Genetic algorithm

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