Title :
Rotor position estimation for a sensorless switched reluctance motor drive with the aid of real time adaptive filter
Author :
Pavlitov, Constantin ; Tashev, Tasho ; Dimitrov, Anton ; Gorbounov, Yassen ; Rusinov, Radoslav
Author_Institution :
Tech. Univ. of Sofia, Sofia, Bulgaria
Abstract :
This paper deals with rotor position estimation of switched reluctance motors (SRM). The estimation method can be applied in SRM sensorless control of position speed and torque controllers. The implementation suggested is based on a real time adaptive filter. The measured variables are supply voltage and stator currents. These currents are used repeatedly for rotor position estimation by using linear adaptive filter which time constant is adjusted to the speed of the rotor. The result of this estimation is a rather precise and convenient rotor angle determining device for SRM sensorless control electrical drives.
Keywords :
adaptive filters; angular velocity control; position control; reluctance motor drives; sensorless machine control; torque control; SRM sensorless control; position speed controllers; real time adaptive filter; rotor position estimation; sensorless switched reluctance motor drive; torque controllers; Adaptive filters; Estimation; Power electronics; Rotors; Switched reluctance motors; Adaptive control; Artificial neural network; Modeling; Sensorless control; Switched reluctance motor;
Conference_Titel :
Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
Conference_Location :
Antalya
DOI :
10.1109/EPEPEMC.2014.6980576