Fig. 1. MRAC system.
Fig. 2. MRAC system for the proposed parameter identification.
Fig. 3. Calculation of the regression vector and output.
Fig. 4. Coefficient controller.
Fig. 5. Process of the proposed parameter identification.
Fig. 6. Rotor-flux oriented control with the proposed parameter identification in an induction motor.
Fig. 7. Responses of coefficients. (a) On the d-axis. (b) Upon averaging.
Fig. 8. Well-tuned case for all of the stator parameters (600 rpm, 50 % load). (a) , , and currents. (b) |? |.
Fig. 9. Detuned case of the stator parameters. (a)case (300 rpm, 80 % load). (b) case (1200 rpm,30 % load).
Fig. 10. Well-tuned case for all of the stator parameters (600 rpm,50 % load). (a) , and currents. (b) Voltages and speed. (c)|? |.
Fig. 11. case (300 rpm, 80 % load). (a) ,and currents. (b) Voltages and speed.
Fig. 12. case (1200 rpm, 30 % load). (a) ,and currents. (b) Voltages and speed.
Fig. 13. Sets of estimated parameters under various conditions. (a) Beginning of experimental activity. (b) Two hours after experimentalactivity.
Fig. 14. In cases of speed operation with fluctuating load. (a) At300 rpm. (b) At 600 rpm. (c) At 1200 rpm.
TABLE I SPECIFICATIONS AND PARAMETERS OF AN INDUCTION MOTOR
TABLE II ERRORS IN THE ESTIMATED VALUES OF AND IN IN VARIOUS SITUATIONS (UNIT: %)
TABLE III ERRORS IN THE ESTIMATED VALUES OF AND IN IN VARIOUS SITUATIONS (UNIT: %)
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