A CS-based measurement method for impedance estimation of induction motor coil

This paper presents a novel measurement method for impedance spectroscopy of induction motor coils using Compressed Sensing (CS). The proposed method employs a Pseudo Random Binary Sequence (PRBS) as the excitation signal and leverages the sparsity of the motor's impulse response to enable signal reconstruction from highly undersampled data from the CS-based acquisition. The impulse response is then transformed to the frequency domain using the Fast Fourier Transform (FFT) to obtain the impedance–frequency response. The method was validated through simulations using a high-frequency equivalent model of an induction motor and experimentally tested by using a real measurement setup. The results demonstrate the method's high accuracy, consistently yielding errors below 4% and maintaining reliable resonance frequency positioning across a range of compression ratios and impulse response lengths. The feasibility of using multiple reconstruction algorithms was evaluated, demonstrating that efficient reconstruction is achievable and implementation on an MCU is practical.