Title :
Fuzzy logic based sensorless vector control of Induction motor
Author :
Bindu, V. ; Unnikrishnan, A. ; Gopikakumari, R.
Author_Institution :
Div. of Electron. Eng., Cochin Univ. of Sci. & Technol., Kochi, India
Abstract :
The paper describes an Extended Kalman filter (EKF) algorithm for the estimation of rotor speed of a squirrel cage induction motor from the measured line currents. Estimated speed values are used for closed loop control. The voltage control is performed under synchronously rotating reference frame and the estimated speed information is used for the reference frame transformation. The fuzzy logic principle is used to control the speed of the Induction motor.
Keywords :
Kalman filters; angular velocity control; closed loop systems; fuzzy control; machine vector control; nonlinear filters; power filters; sensorless machine control; squirrel cage motors; EKF algorithm; closed loop control; extended Kalman filter algorithm; fuzzy logic based sensorless vector control; measured line currents; reference frame transformation; rotor speed estimation; speed control; squirrel cage induction motor; synchronously rotating reference frame; voltage control; Equations; Fuzzy logic; Induction motors; Kalman filters; Mathematical model; Niobium; Rotors; Extended Kalman filter; Fuzzy logic controller; Induction motor;
Conference_Titel :
India Conference (INDICON), 2012 Annual IEEE
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-2270-6
DOI :
10.1109/INDCON.2012.6420672
