Offline Parameter Estimation of an Induction Motor Based on a Complete Mathematical Model

This paper presents an offline parameter estimation method for a mathematical model of an induction motor. This technique would enable algorithm fine-tuning in real-world industrial applications. A DC injection and low-frequency AC injection technique are used to estimate the motor parameters. The former technique is used to estimate the stator resistance while the latter to estimate rotor resistance, leakage inductances and magnetizing inductance. The mathematical model of the test induction motor is validated in multiple reference frames including the stator, rotor and synchronous. Simulations are performed in MATLAB-Simulink to validate the estimation techniques and determine their accuracy. The obtained results are promising with an accuracy of 95%. This research provides a foundation for the development and performance evaluation of vector control algorithms for induction motors.