Title :
Rotor flux and torque estimator for vector controlled induction drive using ANN
Author :
Neema, D.D. ; Patel, R.N. ; Thoke, A.S.
Author_Institution :
CSV Tech. Univ., Bhilai, India
Abstract :
Field oriented control (FOC), also known as vector control of induction motor drives is very useful technique to obtain high performance speed response. Implementation of field oriented control requires the knowledge of instantaneous magnitude and position of rotor flux and load behavior for the correct dimensioning of an induction motor. This paper demonstrates estimation of feedback signals in a three phase induction motor drive. The instantaneous magnitude and position of rotor flux and load torque estimator, in the form of a two stage neural network is presented. The neural network is able to accurately estimate these parameters of an induction motor. The observations indicate that the neural network estimation may be a feasible alternative to other rotor flux and load torque estimation methods like a programmable DSP kit. The comparative performance of both has been presented in this work with the help of a practical three-phase induction motor drive.
Keywords :
feedback; induction motor drives; machine vector control; magnetic flux; neurocontrollers; parameter estimation; rotors; torque control; artificial neural network; feedback signal estimation; field oriented control; induction motor drives; load torque estimation methods; load torque estimator; parameter estimation; programmable DSP kit; rotor flux; vector control; Artificial neural networks; Induction motor drives; Induction motors; Machine vector control; Neural networks; Neurofeedback; Parameter estimation; Phase estimation; Rotors; Torque control; Back propagation; DSP; FOC; Induction drive; Neural network; Vector control;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178881