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 () and Salah Kamel
Additional contact information
Usha Sengamalai: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Geetha Anbazhagan: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
T. M. Thamizh Thentral: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Pradeep Vishnuram: Department of EEE, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India
Tahir Khurshaid: Electrical Engineering Department, Yeungnam University, Gyeongsan 38541, Korea
Salah Kamel: Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt

Energies, 2022, vol. 15, issue 21, 1-39

Abstract: 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: induction motor; parameter estimation; dynamic modeling; observer; model reference adaptive system (MRAS); intelligent technique (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/21/8260/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/21/8260/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:21:p:8260-:d:963921

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().