Real-time estimation of induction motor parameters by LSE

This paper presents a new application of the least square estimation algorithm to the identification of the induction machine parameters in the case of field oriented control. We show that the parameter identification is possible also when the motor is supplied by a CRPWM inverter. The advantage of...

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Main Authors: Dell-Aquila, A., Giliberti, V., Lovecchio, F.S., Salvatore, L.
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Frequency
Induction machines
Induction motors
Inverters
Least squares approximation
Parameter estimation
Rotors
Stators
Voltage
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container_end_page 2131 vol.3
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container_start_page 2127
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creator Dell-Aquila, A.
Giliberti, V.
Lovecchio, F.S.
Salvatore, L.
description This paper presents a new application of the least square estimation algorithm to the identification of the induction machine parameters in the case of field oriented control. We show that the parameter identification is possible also when the motor is supplied by a CRPWM inverter. The advantage of this algorithm is that it is possible to estimate the four fundamental parameters of an induction machine at the same time. On the contrary, it is necessary to respect some important conditions about the voltage frequency spectrum and rotor angular acceleration. The measured variables are the stator currents, voltages and rotor angular speed, while the identified parameters are the stator resistance, stator inductance, rotor time constant and total leakage factor.< >
doi_str_mv 10.1109/IECON.1994.398148
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Acceleration
Frequency
Induction machines
Induction motors
Inverters
Least squares approximation
Parameter estimation
Rotors
Stators
Voltage
title Real-time estimation of induction motor parameters by LSE
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