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FEA-Assisted Experimental Parameter Map Identification of Induction Motor for Wide-Range Field-Oriented Control

Jiwon Yoo, Joon-Hee Lee, Seung‐Ki Sul

2023IEEE Transactions on Power Electronics15 citationsDOI

Abstract

This article introduces an experimental parameter identification method for induction motor (IM) drives, aiming to accurately identify the motor parameters while considering magnetic saturation throughout the entire operating point. To address the rank-deficiency problem in experimental parameter identification for IMs, this article proposes a solution by constructing a stator inductance lookup table (LUT) with the assistance of finite element analysis. By conducting experimental tests, the leakage inductance and the rotor resistance are calculated across the entire operating range. To utilize the obtained parameter set for flux estimation in field-oriented control, the actual <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dq</i> -axis current vector, which serves as the input domain of the parameter LUTs, is calculated through postprocessing. The accuracy of the proposed parameter LUTs is validated with the experimental results, demonstrating that the constructed parameter LUTs are suitable for a wide range of field-oriented control applications in electric vehicle traction motors.

Topics & Concepts

Induction motorIdentification (biology)Field (mathematics)Range (aeronautics)Finite element methodControl engineeringControl theory (sociology)Computer scienceEngineeringElectronic engineeringControl (management)PhysicsElectrical engineeringVoltageMathematicsArtificial intelligenceStructural engineeringAerospace engineeringBiologyBotanyPure mathematicsElectric Motor Design and AnalysisSensorless Control of Electric MotorsMagnetic Bearings and Levitation Dynamics
FEA-Assisted Experimental Parameter Map Identification of Induction Motor for Wide-Range Field-Oriented Control | Litcius