{"title":"基于滑模磁链观测器的双星感应电机无传感器矢量控制","authors":"F. Z. Latrech, A. Rhouma, A. Khedher","doi":"10.1109/IC_ASET58101.2023.10151303","DOIUrl":null,"url":null,"abstract":"This paper presents the vector control of a double-star induction machine (DSIM) using a sliding mode flux observer (SMFO). The vector control strategy is often sensitive to changes in machine parameters, and the real-time measurement of these parameters increases the cost of the system. To overcome these drawbacks, a sensorless DSIM operation can be achieved using an SMFO, which provides robust control against parameter variations without requiring speed and stator flux sensors. Simulation tests were conducted in the MATLAB/Simulink environment to demonstrate the effectiveness of the proposed structure. Finally, the simulation results are recorded and analyzed.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensorless Vector Control of Dual Star Induction Machine Using Sliding Mode Flux Observer\",\"authors\":\"F. Z. Latrech, A. Rhouma, A. Khedher\",\"doi\":\"10.1109/IC_ASET58101.2023.10151303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the vector control of a double-star induction machine (DSIM) using a sliding mode flux observer (SMFO). The vector control strategy is often sensitive to changes in machine parameters, and the real-time measurement of these parameters increases the cost of the system. To overcome these drawbacks, a sensorless DSIM operation can be achieved using an SMFO, which provides robust control against parameter variations without requiring speed and stator flux sensors. Simulation tests were conducted in the MATLAB/Simulink environment to demonstrate the effectiveness of the proposed structure. Finally, the simulation results are recorded and analyzed.\",\"PeriodicalId\":272261,\"journal\":{\"name\":\"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC_ASET58101.2023.10151303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET58101.2023.10151303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensorless Vector Control of Dual Star Induction Machine Using Sliding Mode Flux Observer
This paper presents the vector control of a double-star induction machine (DSIM) using a sliding mode flux observer (SMFO). The vector control strategy is often sensitive to changes in machine parameters, and the real-time measurement of these parameters increases the cost of the system. To overcome these drawbacks, a sensorless DSIM operation can be achieved using an SMFO, which provides robust control against parameter variations without requiring speed and stator flux sensors. Simulation tests were conducted in the MATLAB/Simulink environment to demonstrate the effectiveness of the proposed structure. Finally, the simulation results are recorded and analyzed.