基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计

Using the positive transmission way of modified gear,a mathematical optimization model of the encased differential herringbone gear transmission system is set up by taking the lightest gear weight of this transmission system as the optimization objective.Taking the advantage of its optimization func...

Full description

Saved in:
Bibliographic Details
Main Authors: 朱增宝, 朱如鹏, 尹敏
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2014-01-01
Series:Jixie chuandong
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2014.09.015
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849701658344292352
author 朱增宝
朱如鹏
尹敏
author_facet 朱增宝
朱如鹏
尹敏
author_sort 朱增宝
collection DOAJ
description Using the positive transmission way of modified gear,a mathematical optimization model of the encased differential herringbone gear transmission system is set up by taking the lightest gear weight of this transmission system as the optimization objective.Taking the advantage of its optimization function of genetic algorithm and quadratic programming algorithm in MATLAB toolbox,the compound optimization design is carried out.The research results show that the problem of which the initial value of quadratic programming is difficult to determine is solved well by using the results of the genetic algorithm as the initial value of quadratic programming optimization.Compared with the genetic algorithm or quadratic programming,the optimization design variables of this compound optimization are obviously improved and the gear weight of the system is markedly reduced.The compound optimization method provides a simple and practical solution to obtain precise global optimal solution of the large-scale nonlinear constraint optimization.
format Article
id doaj-art-8fe2bd9b3ff84d1488e55f625a0008f4
institution DOAJ
issn 1004-2539
language zho
publishDate 2014-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-8fe2bd9b3ff84d1488e55f625a0008f42025-08-20T03:17:52ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392014-01-0138555988642125基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计朱增宝朱如鹏尹敏Using the positive transmission way of modified gear,a mathematical optimization model of the encased differential herringbone gear transmission system is set up by taking the lightest gear weight of this transmission system as the optimization objective.Taking the advantage of its optimization function of genetic algorithm and quadratic programming algorithm in MATLAB toolbox,the compound optimization design is carried out.The research results show that the problem of which the initial value of quadratic programming is difficult to determine is solved well by using the results of the genetic algorithm as the initial value of quadratic programming optimization.Compared with the genetic algorithm or quadratic programming,the optimization design variables of this compound optimization are obviously improved and the gear weight of the system is markedly reduced.The compound optimization method provides a simple and practical solution to obtain precise global optimal solution of the large-scale nonlinear constraint optimization.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2014.09.015
spellingShingle 朱增宝
朱如鹏
尹敏
基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计
Jixie chuandong
title 基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计
title_full 基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计
title_fullStr 基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计
title_full_unstemmed 基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计
title_short 基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计
title_sort 基于遗传 二次规划法的封闭差动人字齿轮传动系统混合优化设计
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2014.09.015
work_keys_str_mv AT zhūzēngbǎo jīyúyíchuánèrcìguīhuàfǎdefēngbìchàdòngrénzìchǐlúnchuándòngxìtǒnghùnhéyōuhuàshèjì
AT zhūrúpéng jīyúyíchuánèrcìguīhuàfǎdefēngbìchàdòngrénzìchǐlúnchuándòngxìtǒnghùnhéyōuhuàshèjì
AT yǐnmǐn jīyúyíchuánèrcìguīhuàfǎdefēngbìchàdòngrénzìchǐlúnchuándòngxìtǒnghùnhéyōuhuàshèjì