基于遗传算法的茶叶理条机参数优化设计

doi:10.13305/j.cnki.jts.2016.04.013

茶叶科学 ›› 2016, Vol. 36 ›› Issue (4): 440-444.doi: 10.13305/j.cnki.jts.2016.04.013

• • 上一篇

基于遗传算法的茶叶理条机参数优化设计

王小勇^1,3, 李兵^1,3,*, 曾晨^1,3, 李尚庆^2,3

1. 安徽农业大学工学院,安徽合肥 230031;
2. 安徽农业大学茶与食品科技学院,安徽合肥 230031;
3. 安徽农业大学茶树生物学与资源利用国家重点实验室,安徽合肥 230031

收稿日期:2016-01-27 出版日期:2016-08-15 发布日期:2019-08-26
通讯作者: *,libing@ahau.edu.cn
作者简介:王小勇,男,在读硕士研究生,主要从事茶叶机械研究。
基金资助:
农业部重点科研项目（11004544）、安徽农业大学研究生创新基金项目（2015-43）

Optimization Design of Tea Carding Machine Parameters Based on Genetic Algorithms

WANG Xiaoyong^1,3, LI Bing^1,3,*, ZENG Chen^1,3, LI Shangqing^2,3

1. Engineering College, Anhui Agricultural University, Hefei 230031, China;
2. Tea and food science and Technology College, Anhui Agricultural University, Hefei 230031, China;
3. State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230031, China

Received:2016-01-27 Online:2016-08-15 Published:2019-08-26

摘要/Abstract

摘要： 为了降低茶叶理条机在工作过程中的噪音与振动,提高机器的传动性能与茶叶的加工质量,运用遗传算法和Matlab工具箱,建立理条机传动机构的参数优化数学模型,编制目标函数与约束条件,然后通过Matlab遗传算法工具箱对参数进行优化计算并进行验证试验。优化后各参数为：理条机最小传动角为71.1°,工作行程为122 mm;极位夹角为3.6°,在优化参数下,噪音减低2 dB,茶叶成条率提高了2%。该研究为提高茶叶理条机的工作性能与延长机器的使用寿命具有重要意义。

关键词: 茶叶理条机, 遗传算法, 优化设计

Abstract: To reduce noise and vibration in working process, improve transmission performance of the machine and tea processing quality, genetic algorithms and Matlab toolbox were used to establish an optimal mathematical model of the planetary gear mechanism of the tea carding machine. The objective function and constraints were firstly set, the optimal parameters were calculated by matlab genetic algorithm toolbox and then verified by validation tests. The optimization results showed that the minimum transmission angle , working stroke , Polar angle were 71.1°, 122 mm and 3.6°, respectively. When tea carding machine was performed under optimal parameters, the noise decreased by 2 dB and the stripping tea rate increased by 2%. The study has significant importance for improving performance of tea carding machine and extending machine life.

Key words: tea carding machine, genetic algorithms, optimum design

中图分类号:

TS275.3

王小勇, 李兵, 曾晨, 李尚庆. 基于遗传算法的茶叶理条机参数优化设计[J]. 茶叶科学, 2016, 36(4): 440-444. doi: 10.13305/j.cnki.jts.2016.04.013.

WANG Xiaoyong, LI Bing, ZENG Chen, LI Shangqing. Optimization Design of Tea Carding Machine Parameters Based on Genetic Algorithms[J]. Journal of Tea Science, 2016, 36(4): 440-444. doi: 10.13305/j.cnki.jts.2016.04.013.

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基于遗传算法的茶叶理条机参数优化设计

Optimization Design of Tea Carding Machine Parameters Based on Genetic Algorithms

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