LAPSE:2023.8558
Published Article
LAPSE:2023.8558
Three Phase Induction Motor Drive: A Systematic Review on Dynamic Modeling, Parameter Estimation, and Control Schemes
Usha Sengamalai, Geetha Anbazhagan, T. M. Thamizh Thentral, Pradeep Vishnuram, Tahir Khurshaid, Salah Kamel
February 24, 2023
An induction motor is generally used in industrial applications because it is reliable, robust, and low cost. Reliability is one of the essential parameters based on which the motor is selected, and the induction motor primarily comes into force. The well-founded induction motor gives good results under various operating states. To achieve this, the values of the motor are kept in mind. Dynamic simulation plays a significant part in evaluating the model’s design process to eliminate design errors in typical construction types and when testing the motor drive system. The induction motor is modeled in a synchronously revolving rotor flux-oriented frame, which is used as a reference. For sensorless vector control and induction motor control methods, accurate knowledge of a few induction motor parameters is necessary. The presentation of the drive will degrade if the original data in the motor do not match the values utilized in the controller. Various mechanisms have been developed to calculate the online and offline parameters of the induction machine for its application in high-performance drives. The foremost grail of this review paper is to present dynamic modeling and other considerable approaches used for estimating the induction motor parameter. This paper also constitutes some simulation examples related to dynamic modeling and parameter estimation techniques, which may be useful for specialists in the field of electric drive control systems.
Keywords
Dynamic Modelling, induction motor, intelligent technique, model reference adaptive system (MRAS), observer, parameter estimation
Suggested Citation
Sengamalai U, Anbazhagan G, Thamizh Thentral TM, Vishnuram P, Khurshaid T, Kamel S. Three Phase Induction Motor Drive: A Systematic Review on Dynamic Modeling, Parameter Estimation, and Control Schemes. (2023). LAPSE:2023.8558
Author Affiliations
Sengamalai U: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India [ORCID]
Anbazhagan G: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Thamizh Thentral TM: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Vishnuram P: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India [ORCID]
Khurshaid T: Electrical Engineering Department, Yeungnam University, Gyeongsan 38541, Korea [ORCID]
Kamel S: Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt [ORCID]
Journal Name
Energies
Volume
15
Issue
21
First Page
8260
Year
2022
Publication Date
2022-11-04
Published Version
ISSN
1996-1073
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PII: en15218260, Publication Type: Review
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LAPSE:2023.8558
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doi:10.3390/en15218260
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Feb 24, 2023
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