工程机械液压系统污染建模与卡尔曼预测方法

Xiaoying Zeng, Yunhua Li
{"title":"工程机械液压系统污染建模与卡尔曼预测方法","authors":"Xiaoying Zeng, Yunhua Li","doi":"10.1109/FPM.2011.6045856","DOIUrl":null,"url":null,"abstract":"This paper deals with the study of modeling and prediction of the contamination in the traveling hydraulic circuit of the construction machinery. Using the number of instantaneous contamination particles as contamination transfer characteristic, the author has established the contamination model of typical traveling hydraulic system of the construction machinery. Then, a kind of method based on Kalman filtering is applied to predict system contamination condition. A numerical example to show the effectiveness of the predictive method is provided.","PeriodicalId":241423,"journal":{"name":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Contamination modeling and Kalman prediction method of construction machinery hydraulic system\",\"authors\":\"Xiaoying Zeng, Yunhua Li\",\"doi\":\"10.1109/FPM.2011.6045856\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the study of modeling and prediction of the contamination in the traveling hydraulic circuit of the construction machinery. Using the number of instantaneous contamination particles as contamination transfer characteristic, the author has established the contamination model of typical traveling hydraulic system of the construction machinery. Then, a kind of method based on Kalman filtering is applied to predict system contamination condition. A numerical example to show the effectiveness of the predictive method is provided.\",\"PeriodicalId\":241423,\"journal\":{\"name\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 International Conference on Fluid Power and Mechatronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPM.2011.6045856\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 International Conference on Fluid Power and Mechatronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPM.2011.6045856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

本文对工程机械行走液压回路中污染的建模与预测进行了研究。以瞬时污染颗粒数作为污染传递特征,建立了典型工程机械行走液压系统的污染模型。然后,采用一种基于卡尔曼滤波的方法对系统污染状况进行预测。最后给出了一个数值算例,验证了该预测方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contamination modeling and Kalman prediction method of construction machinery hydraulic system
This paper deals with the study of modeling and prediction of the contamination in the traveling hydraulic circuit of the construction machinery. Using the number of instantaneous contamination particles as contamination transfer characteristic, the author has established the contamination model of typical traveling hydraulic system of the construction machinery. Then, a kind of method based on Kalman filtering is applied to predict system contamination condition. A numerical example to show the effectiveness of the predictive method is provided.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信