Experimental High-Frequency Parameter Identification of AC Electrical Motors

• Published in: IEEE transactions on industry applications Vol. 43; no. 1; pp. 23 - 29
• Main Authors: Boglietti, A., Cavagnino, A., Lazzari, M.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2007; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: A C motors; AC electrical motor; AC motors; Brushless motors; Design engineering; Electromagnetic interference; Electromagnetic modeling; Hafnium; high-frequency (HF) model; Induction motors; Least squares method; Mathematical models; Motors; Parameter estimation; Parameter identification; Predictive models; Reluctance motors; Synchronous; Synchronous motors; Voltage
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2006.887313

In order to predict conducted electromagnetic interference in inverter-motor drive systems, high-frequency (HF) motor models are requested and the involved parameters have to be available. In previous studies, the authors have presented an accurate HF model for induction motors and they have defined the procedures to identify the model parameters. In this paper, these results are extended to several types and sizes of industrial ac motors such as induction, synchronous reluctance (without interior permanent magnets), and brushless motors. The model parameter-identification procedure has been improved, and it is based on a least-squares data fitting applied to the measured magnitude and phase-frequency-response curves of the phase-to-ground and the phase-to-neutral impedances. The aim of this paper is to provide quick indications to select the suitable values of the HF model parameters, with reference to the size and type of the ac motor, to evaluate the HF voltage and current components in inverted-fed ac motor systems