{"title":"Comparison of differential equation resolution methods in a real-time microprocessor-based vector control system for an induction motor drive","authors":"J. M. Moreno-Eguilaz, J. Bordonau, J. Peracaula","doi":"10.1109/CIPE.1994.396699","DOIUrl":null,"url":null,"abstract":"Three different differential equation resolution methods are studied in a real-time microprocessor-based vector control algorithm for an AC motor drive. Both accuracy and computing speed are analysed in these methods. Simulation and experimental results with an Intel 80486 32-bit microprocessor running at 50 MHz are included in this paper. The sophisticated resolution methods show similar accuracy and larger processing times when compared to traditional methods. The length of the variables (single or double) is an important parameter for the performance of the system and the stability of the numerical algorithms.<<ETX>>","PeriodicalId":123138,"journal":{"name":"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE Workshop on Computers in Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIPE.1994.396699","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
Three different differential equation resolution methods are studied in a real-time microprocessor-based vector control algorithm for an AC motor drive. Both accuracy and computing speed are analysed in these methods. Simulation and experimental results with an Intel 80486 32-bit microprocessor running at 50 MHz are included in this paper. The sophisticated resolution methods show similar accuracy and larger processing times when compared to traditional methods. The length of the variables (single or double) is an important parameter for the performance of the system and the stability of the numerical algorithms.<>