Implementation of sensorless indirect vector control of induction motor with closed-loop current control
Crăciunaş Gabriela () and
Viorel Alina Cristina ()
Additional contact information
Crăciunaş Gabriela: Computer Science and Electrical Engineering Department, “Lucian Blaga” University of Sibiu, Romania
Viorel Alina Cristina: Computer Science and Electrical Engineering Department, “Lucian Blaga” University of Sibiu, Romania
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2024, vol. 14, issue 1, 147-155
Abstract:
The paper focuses on the development and testing of an advanced induction motor control method. This method, known as indirect rotor flux-oriented vector control, allows independent control of motor torque and flux, providing high dynamic performance similar to that of a DC motor. Additionally, the implemented system is sensorless, eliminating physical rotor position sensors, which reduces complexity and cost while increasing system reliability. The proposed system uses a rotor flux estimation algorithm, based on mathematical models, which provides the necessary information for vector orientation in the absence of a sensor. Additionally, closed-loop current control improves stability and accuracy of the control by correcting output current deviations from reference values. Thus, the system provides fast and accurate response in the presence of load variations and external disturbances. Simulations and experimental tests were carried out in the Simulink environment, where the proposed model was evaluated under various operating conditions. The results demonstrate the efficiency of the system and the validity of the method for industrial applications where precise and robust induction motor control is required.
Keywords: three-phase induction machine; vector-control; rotor flux estimator (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2478/ijasitels-2024-0015 (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:vrs:ijsiel:v:14:y:2024:i:1:p:147-155:n:1015
DOI: 10.2478/ijasitels-2024-0015
Access Statistics for this article
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is currently edited by Daniel Volovici
More articles in International Journal of Advanced Statistics and IT&C for Economics and Life Sciences from Sciendo
Bibliographic data for series maintained by Peter Golla ().