基于改进遗传算法的秸秆还田机刀片功耗优化

doi:10.12068/j.issn.1005-3026.2021.09.011

东北大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (9): 1290-1298.DOI: 10.12068/j.issn.1005-3026.2021.09.011

基于改进遗传算法的秸秆还田机刀片功耗优化

叶翠丽，王娜，庞硕，闫航

(东北大学机械工程与自动化学院，辽宁沈阳110819)

修回日期:2021-01-29 接受日期:2021-01-29 发布日期:2021-09-16
通讯作者: 叶翠丽
作者简介:叶翠丽(1994-)，女，广东清远人，东北大学硕士研究生；王娜(1980-)，女，辽宁沈阳人，东北大学副教授.
基金资助:
中央高校基本科研业务费专项资金资助项目(N2003017)；中国博士后基金面上资助项目(2018M631800)；国家自然科学基金资助项目(52005085).

Blade Power Consumption Optimization of Straw Crushing Machines Using the Improved Genetic Algorithm

YE Cui-li， WANG Na， PANG Shuo， YAN Hang

School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.

Revised:2021-01-29 Accepted:2021-01-29 Published:2021-09-16
Contact: WANG Na
About author:-
Supported by:
-

摘要/Abstract

摘要： 为降低秸秆还田机的功耗，以秸秆还田机的刀片为研究对象，对刀片的结构和运动参数进行优化.首先通过分析刀片受力情况建立刀片功耗数学模型，并通过田间试验验证模型的正确性;其次对遗传算法进行改进，使用权威测试函数验证改进后算法的可行性与优越性;最后使用改进遗传算法对刀片功耗数学模型进行优化，并利用ANSYS Workbench平台对优化前后的刀片进行结构静力学分析.优化结果表明刀片的功耗值由优化前的19.3kW下降到18.06kW，降低了6.4%，结构静力学分析结果表明刀片优化后结构的合理性和可行性.

关键词: 秸秆还田机;刀片功耗;数学模型;改进遗传算法;刀片优化

Abstract: To reduce the power consumption of straw crushing machines， the blade of straw crushing machines was taken as the research object to optimize its structure and motion parameters. A mathematical model of blade power consumption was established by analyzing the blade force， and the correctness of the model was verified by field experiments. An advanced genetic algorithm was proposed， and its feasibility and superiority were verified by using standard test functions. The mathematical model was optimized by using the advanced genetic algorithm， and the structural static analysis of the blades before and after optimization was carried out by using the ANSYS Workbench platform. The optimization results showed that the power consumption is reduced by 6.4% compared with that before optimization， from 19.3kW to 18.06kW. The results of structural static analysis showed that the optimized structure is reasonable and feasible.

Key words: straw crushing machine; blade power consumption; mathematical model; advanced genetic algorithm; blade optimization

中图分类号:

TH136

叶翠丽，王娜，庞硕，闫航. 基于改进遗传算法的秸秆还田机刀片功耗优化[J]. 东北大学学报（自然科学版）, 2021, 42(9): 1290-1298.

YE Cui-li， WANG Na， PANG Shuo， YAN Hang. Blade Power Consumption Optimization of Straw Crushing Machines Using the Improved Genetic Algorithm[J]. Journal of Northeastern University(Natural Science), 2021, 42(9): 1290-1298.

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基于改进遗传算法的秸秆还田机刀片功耗优化

Blade Power Consumption Optimization of Straw Crushing Machines Using the Improved Genetic Algorithm

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