L. Alberti, Omar Bottesi, S. Calligaro, Piyush Kumar, R. Petrella
{"title":"Self-adaptive high-frequency injection based sensorless control for IPMSM and SynRM","authors":"L. Alberti, Omar Bottesi, S. Calligaro, Piyush Kumar, R. Petrella","doi":"10.1109/SLED.2017.8078437","DOIUrl":null,"url":null,"abstract":"An auto-tuning and self-adaptation procedure for high-frequency injection (HFI) based position and speed estimation algorithms in IPMSM and SynRM drives is proposed in this paper. Analytical developments show that the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point due to saturation. On-line estimation and adaptation of the small-signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme, even without any a priori knowledge of the machine parameters. Interesting byproducts of this proposal are the possibility for on-line adaptation of the current controllers and of the injected voltage magnitude, leading to important advantages from the performance, loss and acoustic point-of-view. The theoretical basis of the method will be first introduced and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a standard industrial drive and two 2.2 kW prototype IPMSMs. Experimental test results demonstrate the feasibility and effectiveness of the proposal.","PeriodicalId":386486,"journal":{"name":"2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SLED.2017.8078437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
An auto-tuning and self-adaptation procedure for high-frequency injection (HFI) based position and speed estimation algorithms in IPMSM and SynRM drives is proposed in this paper. Analytical developments show that the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point due to saturation. On-line estimation and adaptation of the small-signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme, even without any a priori knowledge of the machine parameters. Interesting byproducts of this proposal are the possibility for on-line adaptation of the current controllers and of the injected voltage magnitude, leading to important advantages from the performance, loss and acoustic point-of-view. The theoretical basis of the method will be first introduced and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a standard industrial drive and two 2.2 kW prototype IPMSMs. Experimental test results demonstrate the feasibility and effectiveness of the proposal.