C. M. Verrelli, P. Tomei, S. Bifaretti, A. Lidozzi, F. Crescimbini, M. Tiberti, D. Diaferia
{"title":"Synchronization control of permanent magnets synchronous motors through adaptive disturbance cancellation","authors":"C. M. Verrelli, P. Tomei, S. Bifaretti, A. Lidozzi, F. Crescimbini, M. Tiberti, D. Diaferia","doi":"10.1109/SLED.2016.7518795","DOIUrl":null,"url":null,"abstract":"A master-slave synchronization control problem is addressed for current-fed permanent magnets synchronous machines with uncertain parameters and no speed sensor. An exogenous rotor position reference signal, which belongs to the class of biased sinusoidal signals with uncertain bias, amplitude, angular frequency, phase, is to be tracked without assuming its foreknowledge. An innovative output feedback adaptive nonlinear control scheme, which solves the aforementioned problem and simply generalizes the classical internal model-based input law, is presented. The effectiveness of the proposed approach is validated by experimental results.","PeriodicalId":427939,"journal":{"name":"2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium on Sensorless Control for Electrical Drives (SLED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SLED.2016.7518795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A master-slave synchronization control problem is addressed for current-fed permanent magnets synchronous machines with uncertain parameters and no speed sensor. An exogenous rotor position reference signal, which belongs to the class of biased sinusoidal signals with uncertain bias, amplitude, angular frequency, phase, is to be tracked without assuming its foreknowledge. An innovative output feedback adaptive nonlinear control scheme, which solves the aforementioned problem and simply generalizes the classical internal model-based input law, is presented. The effectiveness of the proposed approach is validated by experimental results.