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}
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.