A Novel Neuro Fuzzy Method DTC of Induction Motor Drive for Efficient Torque Response
Geeta Kamalapur, T Vijay Muni, Pandala Rathnakar Kumar, V Parimala, K Venkata Kishore, M.S. Aspalli
Abstract
It is proposed in this paper that a modified Neuro Fuzzy (NF) approach dependant Direct Torque Controller (DTC) model be used for a non-linear system such as an Induction Machine Drive (IMD). There has been consideration of a straightforward tuning strategy that significantly reduces the variance between real and necessary acceleration of the drive by altering the settings of the succeeding levels of the NF Controller. Traditional Voltage Source Inverter (VSI) fed DTC models display significant ripple content because to the set magnitude limitations of flux and torque hysteresis controllers, which are supplied by the VSI. The hysteresis band limitations are subjected to an online tuning method in order to eliminate such irregularities in terms of torque changes. Aside from that, the suggested controller has been successfully developed for three and five-level VSI using the MATLAB/SIMULINK tool, and simulations have been conducted under a variety of operating situations. Finally, when compared to the traditional PID controller, the findings show that the torque ripple has been minimised.