{"title":"模糊卡尔曼滤波在双质量系统自适应控制结构中的应用","authors":"Krzysztof Drozdz, Dariusz Janiszewski, K. Szabat","doi":"10.1109/EPEPEMC.2014.6980556","DOIUrl":null,"url":null,"abstract":"The the article the issues associated with the use of fuzzy logic in a non-linear Kalman filter working in adaptive control structure of the dual mass system are presented. In the introduction, a brief review of the literature is done. Then the mathematical model of the drive system is shown. Next, the control structure and the fuzzy extended Kalman filter is presented. The adaptation of the coefficients of the covariance matrix of the Kalman filter with the help of the fuzzy system is described. Estimator is tested in an open and closed control structure. Compared to the classic solutions, a significant improvement in the quality of the state variable estimation of the drive system is obtained.","PeriodicalId":325670,"journal":{"name":"2014 16th International Power Electronics and Motion Control Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Application of fuzzy Kalman filter in adaptive control structure of two-mass system\",\"authors\":\"Krzysztof Drozdz, Dariusz Janiszewski, K. Szabat\",\"doi\":\"10.1109/EPEPEMC.2014.6980556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The the article the issues associated with the use of fuzzy logic in a non-linear Kalman filter working in adaptive control structure of the dual mass system are presented. In the introduction, a brief review of the literature is done. Then the mathematical model of the drive system is shown. Next, the control structure and the fuzzy extended Kalman filter is presented. The adaptation of the coefficients of the covariance matrix of the Kalman filter with the help of the fuzzy system is described. Estimator is tested in an open and closed control structure. Compared to the classic solutions, a significant improvement in the quality of the state variable estimation of the drive system is obtained.\",\"PeriodicalId\":325670,\"journal\":{\"name\":\"2014 16th International Power Electronics and Motion Control Conference and Exposition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 16th International Power Electronics and Motion Control Conference and Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEPEMC.2014.6980556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 16th International Power Electronics and Motion Control Conference and Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEPEMC.2014.6980556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of fuzzy Kalman filter in adaptive control structure of two-mass system
The the article the issues associated with the use of fuzzy logic in a non-linear Kalman filter working in adaptive control structure of the dual mass system are presented. In the introduction, a brief review of the literature is done. Then the mathematical model of the drive system is shown. Next, the control structure and the fuzzy extended Kalman filter is presented. The adaptation of the coefficients of the covariance matrix of the Kalman filter with the help of the fuzzy system is described. Estimator is tested in an open and closed control structure. Compared to the classic solutions, a significant improvement in the quality of the state variable estimation of the drive system is obtained.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
