{"title":"Simplified Gain and Phase Margin PI Tuning Method for SPMSM Control","authors":"Han Wang, X. Zeng, X. Pei, R. Burke","doi":"10.1109/DMC55175.2022.9906536","DOIUrl":null,"url":null,"abstract":"PI controllers are essential in electric motor drive systems in terms of speed control and torque control. This paper introduces a simplified gain and phase margin (SGPM) method for PI tuning used for surface mounted permanent magnet synchronous motor (SPMSM) control. The paper compares the differences between Ziegler Nichols (ZN), gain and phase margin (GPM) and SGPM under different operating situations. The results show that SGPM has similar control with GPM method whilst simplifying the solving procedure and would have potential to significantly reduce computation time especially for self-adapting algorithm.","PeriodicalId":245908,"journal":{"name":"2022 IEEE Design Methodologies Conference (DMC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Design Methodologies Conference (DMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMC55175.2022.9906536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
PI controllers are essential in electric motor drive systems in terms of speed control and torque control. This paper introduces a simplified gain and phase margin (SGPM) method for PI tuning used for surface mounted permanent magnet synchronous motor (SPMSM) control. The paper compares the differences between Ziegler Nichols (ZN), gain and phase margin (GPM) and SGPM under different operating situations. The results show that SGPM has similar control with GPM method whilst simplifying the solving procedure and would have potential to significantly reduce computation time especially for self-adapting algorithm.