Title :
Sensorless speed estimation of induction motor based on the secondary and primary resistance on-line identification without any additional signal injection
Author :
Akatsu, Kan ; Kawamura, Atsuo
Author_Institution :
Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
Abstract :
In the low speed region, it is difficult to estimate the rotor speed of the induction motor, because the machine parameter (especially R2) has a strong influence on the speed estimation. It is known that the simultaneous estimation of the speed and R2 is impossible. In this paper the R2 estimation in the transient state without adding any additional signal to the stator current is proposed, and the R1 is estimated from the instantaneous reactive power. These algorithms are verified by digital simulations and experiments
Keywords :
digital simulation; electric machine analysis computing; electric resistance; induction motors; least mean squares methods; parameter estimation; reactive power; rotors; stators; digital simulation; induction motor; instantaneous reactive power; least mean square algorithms; primary resistance on-line identification; rotor speed estimation; secondary resistance on-line identification; sensorless speed estimation; signal injection; stator current; transient state; Angular velocity; Electric resistance; Electrical resistance measurement; Frequency estimation; Induction motors; Rotors; Signal processing; State estimation; Stators; Velocity measurement;
Conference_Titel :
Power Electronics Specialists Conference, 1998. PESC 98 Record. 29th Annual IEEE
Conference_Location :
Fukuoka
Print_ISBN :
0-7803-4489-8
DOI :
10.1109/PESC.1998.703388
