Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application
Induction motors are popularly used in various applications because of the proposed modest construction, substantiated process, and limited size of specific power. The traditional AC traction drives are experimentally analyzed. There is a high circulating current due to the high Common-Mode Voltage...
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MDPI AG
2022-04-01
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author | Usha Sengamalai T. M. Thamizh Thentral Palanisamy Ramasamy Mohit Bajaj Syed Sabir Hussain Bukhari Ehab E. Elattar Ahmed Althobaiti Salah Kamel |
author_facet | Usha Sengamalai T. M. Thamizh Thentral Palanisamy Ramasamy Mohit Bajaj Syed Sabir Hussain Bukhari Ehab E. Elattar Ahmed Althobaiti Salah Kamel |
author_sort | Usha Sengamalai |
collection | DOAJ |
description | Induction motors are popularly used in various applications because of the proposed modest construction, substantiated process, and limited size of specific power. The traditional AC traction drives are experimentally analyzed. There is a high circulating current due to the high Common-Mode Voltage (CMV). The high Circulating Bearing Current (CBC) is a major problem in conventional two-level voltage source inverter fed parallel-connected sensor-based induction motors for traction applications. A sensorless method is well known for shrinking costs and enhancing the reliability of an induction motor drive. The modified artificial neural network-based model reference adaptive system is designed to realize speed estimation methods for the sensorless drive. Four dissimilar multilevel inverter network topologies are being implemented to reduce CBC in the proposed sensorless traction motor drives. The multilevel inverter types are T-bridge, Neutral Point Clamped Inverter (NPC), cascaded H-bridge, and modified reduced switch topologies. The four methods are compared, and the best method has been identified in terms of 80% less CMV compared to the conventional one. The modified cascaded H-bridge inverter reduces the CBC of the proposed artificial neural network-based parallel connected induction motor; it is 50% compared to the conventional method. The CBC of the modified method is analyzed and associated with the traditional method. Finally, the parallel-connected induction motor traction drive hardware is implemented, and the performance is analyzed. |
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spelling | doaj.art-aa9ea009f0174a8489a3e0ec9a2e31fe2023-12-03T13:39:59ZengMDPI AGMathematics2227-73902022-04-01108122010.3390/math10081220Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction ApplicationUsha Sengamalai0T. M. Thamizh Thentral1Palanisamy Ramasamy2Mohit Bajaj3Syed Sabir Hussain Bukhari4Ehab E. Elattar5Ahmed Althobaiti6Salah Kamel7Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaDepartment of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaDepartment of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, IndiaDepartment of Electrical and Electronics Engineering, National Institute of Technology Delhi, Delhi 110040, IndiaSchool of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06910, KoreaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, EgyptInduction motors are popularly used in various applications because of the proposed modest construction, substantiated process, and limited size of specific power. The traditional AC traction drives are experimentally analyzed. There is a high circulating current due to the high Common-Mode Voltage (CMV). The high Circulating Bearing Current (CBC) is a major problem in conventional two-level voltage source inverter fed parallel-connected sensor-based induction motors for traction applications. A sensorless method is well known for shrinking costs and enhancing the reliability of an induction motor drive. The modified artificial neural network-based model reference adaptive system is designed to realize speed estimation methods for the sensorless drive. Four dissimilar multilevel inverter network topologies are being implemented to reduce CBC in the proposed sensorless traction motor drives. The multilevel inverter types are T-bridge, Neutral Point Clamped Inverter (NPC), cascaded H-bridge, and modified reduced switch topologies. The four methods are compared, and the best method has been identified in terms of 80% less CMV compared to the conventional one. The modified cascaded H-bridge inverter reduces the CBC of the proposed artificial neural network-based parallel connected induction motor; it is 50% compared to the conventional method. The CBC of the modified method is analyzed and associated with the traditional method. Finally, the parallel-connected induction motor traction drive hardware is implemented, and the performance is analyzed.https://www.mdpi.com/2227-7390/10/8/1220induction motorartificial neural networkneutral point-clamped invertercirculating bearing currentscommon-mode voltagecascaded H-bridge inverter |
spellingShingle | Usha Sengamalai T. M. Thamizh Thentral Palanisamy Ramasamy Mohit Bajaj Syed Sabir Hussain Bukhari Ehab E. Elattar Ahmed Althobaiti Salah Kamel Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application Mathematics induction motor artificial neural network neutral point-clamped inverter circulating bearing currents common-mode voltage cascaded H-bridge inverter |
title | Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application |
title_full | Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application |
title_fullStr | Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application |
title_full_unstemmed | Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application |
title_short | Mitigation of Circulating Bearing Current in Induction Motor Drive Using Modified ANN Based MRAS for Traction Application |
title_sort | mitigation of circulating bearing current in induction motor drive using modified ann based mras for traction application |
topic | induction motor artificial neural network neutral point-clamped inverter circulating bearing currents common-mode voltage cascaded H-bridge inverter |
url | https://www.mdpi.com/2227-7390/10/8/1220 |
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