Title :
Sensorless speed estimation and diagnosis of induction motors based on purified space vectors
Author_Institution :
Rolls-Royce Group, Optimized Syst. & Solutions, Derby, UK
Abstract :
A new scheme based on the demodulation technique and interpolated fast Fourier transform (IFFT) is proposed to construct purified space vector for the purpose of sensorless speed measurement and fault diagnosis for induction motors. The phase and amplitude fluctuation associated with the eccentricity harmonics is demodulated first. Interpolated fast Fourier transform is then performed to estimate the speed of induction motors running under constant speed and transient conditions. Experimental studies have further confirmed good agreement between the estimated motor speed using the proposed scheme and the measured speed using an encoder. The effectiveness of proposed purified space vector has been further demonstrated in the detection of coupling misalignments and stator faults.
Keywords :
fast Fourier transforms; fault diagnosis; induction motors; stators; IFFT; amplitude fluctuation; coupling misalignments detection; demodulation technique; eccentricity harmonics; encoder; induction motor diagnosis; interpolated fast Fourier transform; purified space vectors; sensorless speed estimation; sensorless speed measurement; stator faults; Demodulation; Fluctuations; Frequency estimation; Harmonic analysis; Induction motors; Time-frequency analysis; Vectors;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location :
Valencia
DOI :
10.1109/DEMPED.2013.6645741