Direct torque control of three phase induction motor using neural network-fuzzy logic techniques
International Journal of Development Research
Direct torque control of three phase induction motor using neural network-fuzzy logic techniques
Received 29th October, 2017; Received in revised form 13th November, 2017; Accepted 17th December, 2017; Published online 31st January, 2018.
Copyright ©2018, Mohanapriya and Umadevi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper Fuzzy Logic and proposed Neural Network based Direct Torque Control of Induction motor are designed. A Back Propagation Neural Network is used in proposed method. The training patterns of Neural Network are extracted from Fuzzy Logic Controller based Direct Torque Control of Induction Motor. The operating characteristics of the proposed drive is compared with the Direct Torque Control and Fuzzy Logic Control to verify the effectiveness under various conditions by investigating the transient response for the step change of speed command and the load torque. The simulation results are provided in the MATLAB/SIMULINK Environment to demonstrate the effectiveness of the proposed methodology
