Title :
Online identification and adaptation of rotor resistance in feedforward vector controlled induction motor drive
Author :
Chandra, B.M. ; Kalyani, S.T.
Author_Institution :
Electr. & Electron. Eng. Dept., KSRM Coll. of Eng., Kadapa, India
Abstract :
This paper presents on-line efficient detection and adaption of rotor resistance in the Indirect Vector control of induction motor. As the rotor resistance variations occur during the normal running condition of motor, it can cause performance deterioration unless it is detected and compensated. In this paper a novel approach for rotor resistance determination is proposed directly from decoupled stator voltage and currents and the response of speed, torque and currents are examined by including rotor resistance variations. The proposed method in the paper will definitely overcome the problems related to rotor resistance variations and improves the performance of Vector control.
Keywords :
feedforward; induction motor drives; machine vector control; rotors; feedforward vector controlled induction motor drive; indirect vector control; online identification; rotor resistance adaptation; rotor resistance adaption; rotor resistance variations; Induction motors; Machine vector control; Niobium; Resistance; Rotors; Stators; Torque; Indirect Vector control; Induction Motor; Rotor resistance detection;
Conference_Titel :
Power Electronics (IICPE), 2012 IEEE 5th India International Conference on
Conference_Location :
Delhi
Print_ISBN :
978-1-4673-0931-8
DOI :
10.1109/IICPE.2012.6450372