Title :
Speed sensorless vector control of induction motor using Kalman-filter-assisted adaptive observer
Author :
Lee, Che-Ming ; Chen, Chern-Lin
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
4/1/1998 12:00:00 AM
Abstract :
This letter presents a new method of estimating rotor speed of an induction motor. The new method is based on an adaptive flux observer. A second-order Kalman filter is then employed to modify the estimated rotor flux. Experimental results show that the new method has better accuracy in following the speed command under heavy loads
Keywords :
Kalman filters; adaptive control; angular velocity control; induction motors; machine control; magnetic flux; parameter estimation; Kalman-filter-assisted adaptive observer; adaptive flux observer; estimated rotor flux modification; induction motor; rotor speed estimation; second-order Kalman filter; speed sensorless vector control; Adaptive control; Frequency estimation; Frequency measurement; Induction motors; Machine vector control; Programmable control; Rotors; Snubbers; Steady-state; Voltage;
Journal_Title :
Industrial Electronics, IEEE Transactions on