Title :
Real-time estimation of induction motor parameters by LSE
Author :
Aquila, A. Dell´ ; Giliberti, V. ; Lovecchio, F.S. ; Salvatore, L.
Author_Institution :
Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
Abstract :
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
Keywords :
induction motors; least squares approximations; machine theory; magnetic fields; parameter estimation; real-time systems; rotors; stators; field oriented control; identification; induction motor; inverter; least square estimation; parameter estimation; real-time estimation; rotor angular acceleration; rotor angular speed; rotor time constant; stator currents; stator inductance; stator resistance; stator voltages; total leakage factor; voltage frequency spectrum; Acceleration; Frequency; Induction machines; Induction motors; Inverters; Least squares approximation; Parameter estimation; Rotors; Stators; Voltage;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.398148