{"title":"Development of Non-linear State-space Affine Model of PMSM and Analysis of Its Dynamic Behavior Encompassing the Possibility of Chaos","authors":"Partha Roy, Susanta Ray","doi":"10.1109/CONECCT55679.2022.9865832","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to develop a state space affine model of a permanent magnet synchronous motor (PMSM) to facilitate its behavioral study for different sets of parameters. The modeling is done in step-by-step manner with clear-cut explanation. First the two-axis d-q model is built. Then the model is transformed into state-space using affine transformation. The dynamic behavior of the dimensionless state-space variables is studied thereupon. A special investigation shows the probability of the chaotic behavior of the motor. The simulation results in MATLAB® environment demonstrate the effectiveness of the appraisals of this analysis.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONECCT55679.2022.9865832","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
The objective of this paper is to develop a state space affine model of a permanent magnet synchronous motor (PMSM) to facilitate its behavioral study for different sets of parameters. The modeling is done in step-by-step manner with clear-cut explanation. First the two-axis d-q model is built. Then the model is transformed into state-space using affine transformation. The dynamic behavior of the dimensionless state-space variables is studied thereupon. A special investigation shows the probability of the chaotic behavior of the motor. The simulation results in MATLAB® environment demonstrate the effectiveness of the appraisals of this analysis.