{"title":"带磁滞和PI电流控制器的感应电机驱动性能分析","authors":"Shaija P J, A. E. Daniel","doi":"10.1109/PARC52418.2022.9726638","DOIUrl":null,"url":null,"abstract":"This study presents the design and comparative analysis of an Indirect Field Oriented Controlled (IFOC) induction motor drive with Hysteresis Current Controller (HCC) and PI Current Controllers (PI CC). The IFOC scheme is comprised of an outer speed control loop and an inner current loop. The proposed scheme employs a PI controller as the speed controller. To tune these controllers, the population-based modified Particle Swarm optimization (PSO) algorithm is used, to minimize the objective function, the Mean Squared Error (MSE) of speed tracking. Extensive simulations are carried out with both the schemes and the motor performance is evaluated with each controller for various load torque and speed conditions. The obtained findings reveal that, even though rise time with tuned HCC scheme is 23.8% longer than that with tuned PI controller scheme, steady-state error is reduced by 66% in HCC than PI CC. Tuning by optimization algorithm has greatly improved the peak time, steady-state error, THD and MSE in both controller schemes.","PeriodicalId":158896,"journal":{"name":"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of Induction Motor Drive with Hysteresis and PI Current Controllers\",\"authors\":\"Shaija P J, A. E. Daniel\",\"doi\":\"10.1109/PARC52418.2022.9726638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents the design and comparative analysis of an Indirect Field Oriented Controlled (IFOC) induction motor drive with Hysteresis Current Controller (HCC) and PI Current Controllers (PI CC). The IFOC scheme is comprised of an outer speed control loop and an inner current loop. The proposed scheme employs a PI controller as the speed controller. To tune these controllers, the population-based modified Particle Swarm optimization (PSO) algorithm is used, to minimize the objective function, the Mean Squared Error (MSE) of speed tracking. Extensive simulations are carried out with both the schemes and the motor performance is evaluated with each controller for various load torque and speed conditions. The obtained findings reveal that, even though rise time with tuned HCC scheme is 23.8% longer than that with tuned PI controller scheme, steady-state error is reduced by 66% in HCC than PI CC. Tuning by optimization algorithm has greatly improved the peak time, steady-state error, THD and MSE in both controller schemes.\",\"PeriodicalId\":158896,\"journal\":{\"name\":\"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PARC52418.2022.9726638\",\"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 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARC52418.2022.9726638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Analysis of Induction Motor Drive with Hysteresis and PI Current Controllers
This study presents the design and comparative analysis of an Indirect Field Oriented Controlled (IFOC) induction motor drive with Hysteresis Current Controller (HCC) and PI Current Controllers (PI CC). The IFOC scheme is comprised of an outer speed control loop and an inner current loop. The proposed scheme employs a PI controller as the speed controller. To tune these controllers, the population-based modified Particle Swarm optimization (PSO) algorithm is used, to minimize the objective function, the Mean Squared Error (MSE) of speed tracking. Extensive simulations are carried out with both the schemes and the motor performance is evaluated with each controller for various load torque and speed conditions. The obtained findings reveal that, even though rise time with tuned HCC scheme is 23.8% longer than that with tuned PI controller scheme, steady-state error is reduced by 66% in HCC than PI CC. Tuning by optimization algorithm has greatly improved the peak time, steady-state error, THD and MSE in both controller schemes.