| Title |
Rotor Resistance Estimation of Induction Motor by ANN |
| Authors |
Jae-Sub Ko ; Jung-Sik Choi ; Dong-Hwa Chung |
| Keywords |
Induction Motor Drive ; Ann ; Neural Network ; Rotor Estimation ; Estimation Performance |
| Abstract |
This paper proposes a new method of on-line estimation for rotor resistance of the induction motor in the indirect vector controlled drive, using artificial neural network (ANN). The back propagation algorithm is used for training of the neural networks. The error between the desired state variable of an induction motor and actual state variable of a neural network model is back propagated to adjust the weight of a neural network model, so that the actual state variable tracks the desired value. The performance of rotor resistance estimator and torque and flux responses of drive, together with these estimators, are investigated variations rotor resistance from their nominal values. The rotor resistance are estimated analytically, using the proposed ANN in a vector controlled induction motor drive. |