Title :
Online rotor resistance estimation using the transient state under the speed sensorless control of induction motor
Author :
Akatsu, Kan ; Kawamura, Atsuo
Author_Institution :
Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
fDate :
5/1/2000 12:00:00 AM
Abstract :
In the speed sensorless control of the induction motor, the machine parameters (especially rotor resistance R2) have a strong influence on the speed estimation. It is known that the simultaneous estimation of the rotor speed and R2 is impossible in the slip frequency type vector control, because the rotor flux is constant. But the rotor flux is not always constant in the speed transient state. In this paper, the R2 estimation in the transient state without signal injection to the stator current is proposed. This algorithm uses the least mean square algorithm and the adaptive algorithm, and it is possible to estimate R2 exactly. This algorithm is verified by the digital simulations and experiments
Keywords :
control system analysis; control system synthesis; induction motors; least mean squares methods; machine testing; machine theory; machine vector control; parameter estimation; velocity control; control design; control performance; control simulation; induction motor; least mean square algorithm; machine parameters; online rotor resistance estimation; rotor resistance; speed estimation; speed sensorless control; stator current; transient state; Adaptive algorithm; Digital simulation; Frequency estimation; Induction motors; Least mean square algorithms; Machine vector control; Rotors; Sensorless control; State estimation; Stators;
Journal_Title :
Power Electronics, IEEE Transactions on
