动态误差校正问题中基于组合极大值原理的状态估计算法和测量变换器参数的综合

S. Lazarenko, I. Pugachev, A. Kostoglotov, Igor Deryabkin, D. Andrashitov
{"title":"动态误差校正问题中基于组合极大值原理的状态估计算法和测量变换器参数的综合","authors":"S. Lazarenko, I. Pugachev, A. Kostoglotov, Igor Deryabkin, D. Andrashitov","doi":"10.1109/ICMSC.2017.7959489","DOIUrl":null,"url":null,"abstract":"The proposed algorithms for state estimation and the parameters of measurement converters are based on the statement that the Lagrange equations of the second kind describing these dynamics are valid. This allows based of the combined of the maximum principle to obtain the structure of corrective feedback in a closed form, which provides convergence of the estimates of the accelerometer parameters to the actual values. The theoretical conclusions are confirmed by the results of mathematical simulation. It is shown that the developed algorithm provides saving of computational cost in comparison with the Kalman filter.","PeriodicalId":356055,"journal":{"name":"2017 International Conference on Mechanical, System and Control Engineering (ICMSC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The synthesis of the algorithms for state estimation and the parameters of measurement converters based on the combined maximum principle in the problems of dynamic error correction\",\"authors\":\"S. Lazarenko, I. Pugachev, A. Kostoglotov, Igor Deryabkin, D. Andrashitov\",\"doi\":\"10.1109/ICMSC.2017.7959489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proposed algorithms for state estimation and the parameters of measurement converters are based on the statement that the Lagrange equations of the second kind describing these dynamics are valid. This allows based of the combined of the maximum principle to obtain the structure of corrective feedback in a closed form, which provides convergence of the estimates of the accelerometer parameters to the actual values. The theoretical conclusions are confirmed by the results of mathematical simulation. It is shown that the developed algorithm provides saving of computational cost in comparison with the Kalman filter.\",\"PeriodicalId\":356055,\"journal\":{\"name\":\"2017 International Conference on Mechanical, System and Control Engineering (ICMSC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Mechanical, System and Control Engineering (ICMSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSC.2017.7959489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Mechanical, System and Control Engineering (ICMSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSC.2017.7959489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

所提出的状态估计算法和测量转换器的参数是基于描述这些动态的第二类拉格朗日方程是有效的。这允许基于最大原理的组合得到一个封闭形式的校正反馈结构,它提供了加速度计参数估计值与实际值的收敛性。数学模拟结果证实了理论结论。结果表明,与卡尔曼滤波相比,该算法节省了计算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The synthesis of the algorithms for state estimation and the parameters of measurement converters based on the combined maximum principle in the problems of dynamic error correction
The proposed algorithms for state estimation and the parameters of measurement converters are based on the statement that the Lagrange equations of the second kind describing these dynamics are valid. This allows based of the combined of the maximum principle to obtain the structure of corrective feedback in a closed form, which provides convergence of the estimates of the accelerometer parameters to the actual values. The theoretical conclusions are confirmed by the results of mathematical simulation. It is shown that the developed algorithm provides saving of computational cost in comparison with the Kalman filter.
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:481959085
Book学术官方微信