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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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | 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.< > |
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DOI: | 10.1109/IECON.1994.398148 |