Title :
Study on the parameter identification for induction motors
Author :
Gyu-Sik Kim ; Chung-Hyuk Yim ; Ick-Choi
Author_Institution :
Dept. of Electr. Eng., Seoul City Univ., South Korea
Abstract :
In this paper, the induction motor control system with high dynamic performance by means of decoupling control and motor parameter adaptation is presented. For power efficiency control or field weakening, the rotor flux may be reduced at light loads. Motor inductances depend on rotor flux but not on machine temperature. So, if the rotor flux is changed, the motor inductances should also be changed according to the rotor flux commands. On the other hand, the rotor resistance varies greatly with the machine temperature. The value of rotor resistance must be estimated instantly during the operation. We present novel identification algorithms for motor inductances and rotor resistance. Our identification algorithms are computationally simple and have very small identification errors
Keywords :
angular velocity control; electric resistance; inductance; induction motors; machine control; magnetic flux; magnetic variables control; parameter estimation; power control; rotors; velocity control; decoupling control; field weakening; flux control; high dynamic performance; identification algorithms; induction motor control system; motor inductance; motor inductances; motor parameter adaptation; motor resistance; parameter identification; power efficiency control; rotor flux commands; rotor flux reduction; rotor resistance estimation; speed control; Adaptive control; Automatic control; Control systems; Induction motors; Parameter estimation; Rotors; Stators; Temperature dependence; Torque control; Voltage;
Conference_Titel :
Power Electronics Congress, 1996. Technical Proceedings. CIEP '96., V IEEE International
Conference_Location :
Cuernavaca
Print_ISBN :
0-7803-3633-X
DOI :
10.1109/CIEP.1996.618542