Khanh-Linh Dang, Bảo-Huy Nguyễn, M. C. Ta, J. Trovão, Thanh Vo-Duy
{"title":"基于能量宏观表征的异步电机转子磁链滑模控制与估计","authors":"Khanh-Linh Dang, Bảo-Huy Nguyễn, M. C. Ta, J. Trovão, Thanh Vo-Duy","doi":"10.1109/ICCAIS56082.2022.9990100","DOIUrl":null,"url":null,"abstract":"Induction motors (IMs) are among the most prevalent electrical motors in industry because of their simple structure and low cost. One of the challenges in operating this type of motor by the field oriented control (FOC) method is calculating its continually varying properties such as flux, resistance, and inductance. Despite significant advances in science and technology, there is currently no equipment that can directly measure them, making it difficult to apply traditional model-based control methods. The purpose of this study is to manipulate a sliding mode observer (SMO) for rotor flux. Based on the estimated value, a model free sliding mode controller (MFSMC) is utilized to perform the flux control strategies under different working conditions of the motor. The proposed approach of the IM drive system is modelled using Energetic Macroscopic Representation (EMR) and validated by simulation in Matlab/Simulink®.","PeriodicalId":273404,"journal":{"name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sliding Mode Solution for Rotor Flux Control and Estimation of Induction Motors Using Energetic Macroscopic Representation\",\"authors\":\"Khanh-Linh Dang, Bảo-Huy Nguyễn, M. C. Ta, J. Trovão, Thanh Vo-Duy\",\"doi\":\"10.1109/ICCAIS56082.2022.9990100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Induction motors (IMs) are among the most prevalent electrical motors in industry because of their simple structure and low cost. One of the challenges in operating this type of motor by the field oriented control (FOC) method is calculating its continually varying properties such as flux, resistance, and inductance. Despite significant advances in science and technology, there is currently no equipment that can directly measure them, making it difficult to apply traditional model-based control methods. The purpose of this study is to manipulate a sliding mode observer (SMO) for rotor flux. Based on the estimated value, a model free sliding mode controller (MFSMC) is utilized to perform the flux control strategies under different working conditions of the motor. The proposed approach of the IM drive system is modelled using Energetic Macroscopic Representation (EMR) and validated by simulation in Matlab/Simulink®.\",\"PeriodicalId\":273404,\"journal\":{\"name\":\"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAIS56082.2022.9990100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS56082.2022.9990100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sliding Mode Solution for Rotor Flux Control and Estimation of Induction Motors Using Energetic Macroscopic Representation
Induction motors (IMs) are among the most prevalent electrical motors in industry because of their simple structure and low cost. One of the challenges in operating this type of motor by the field oriented control (FOC) method is calculating its continually varying properties such as flux, resistance, and inductance. Despite significant advances in science and technology, there is currently no equipment that can directly measure them, making it difficult to apply traditional model-based control methods. The purpose of this study is to manipulate a sliding mode observer (SMO) for rotor flux. Based on the estimated value, a model free sliding mode controller (MFSMC) is utilized to perform the flux control strategies under different working conditions of the motor. The proposed approach of the IM drive system is modelled using Energetic Macroscopic Representation (EMR) and validated by simulation in Matlab/Simulink®.