{"title":"Position and speed estimation with improved integrator for synchronous motor","authors":"D. Yousfi, M. Azizi, A. Saad","doi":"10.1109/IECON.1999.819361","DOIUrl":null,"url":null,"abstract":"In this paper a combined position and speed estimation algorithm for synchronous motor is presented. The aim is to improve the ability to cancel initial position error as well as the robustness towards DC disturbance affecting the back-EMF. Emphasis is placed on the DC drift and initial value problems due to the implementation of an integrator for motor flux estimation. Some existing algorithms together with a new improved integrator are presented and analyzed for showing their efficiency in terms of solving the problem associated with a pure integrator and achieving the combination objectives in both steady-state and dynamic operation. Experimental results are presented to substantiate the digital simulation.","PeriodicalId":378710,"journal":{"name":"IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1999.819361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper a combined position and speed estimation algorithm for synchronous motor is presented. The aim is to improve the ability to cancel initial position error as well as the robustness towards DC disturbance affecting the back-EMF. Emphasis is placed on the DC drift and initial value problems due to the implementation of an integrator for motor flux estimation. Some existing algorithms together with a new improved integrator are presented and analyzed for showing their efficiency in terms of solving the problem associated with a pure integrator and achieving the combination objectives in both steady-state and dynamic operation. Experimental results are presented to substantiate the digital simulation.