Neural Network Based DTC IM Drive for Electric Vehicle Propulsion System

Author

Singh, Bhim ; Jain, Pradeep ; Mittal, A.P. ; Gupta, J.R.P.

Author_Institution

Dept. of Electr. Eng., IIT, Delhi

fYear

2006

fDate

18-20 Dec. 2006

Firstpage

1

Lastpage

6

Abstract

This paper deals with a neural network based direct torque control (DTC) of an induction motor (IM) for electric vehicle (EV) propulsion system. In this scheme the traditional switching lookup table is replaced with a multi-layer neural network. The complete neural network (NN) based DTC scheme of IM drive is simulated using MATLAB. The obtained results demonstrate the effectiveness of the NN based DTC scheme of IM drive. The proposed NN based DTC scheme reduces torque and current ripples to a great extent in IM drive.

Keywords

electric drives; electric vehicles; induction motor drives; machine control; neurocontrollers; table lookup; torque control; MATLAB; direct torque control; electric vehicle propulsion system; induction motor; multilayer neural network; switching lookup table; Control systems; Electric vehicles; Hysteresis motors; Induction motor drives; Induction motors; Multi-layer neural network; Neural networks; Propulsion; Stators; Torque control; DTC; Electric vehicle; Induction motor; Neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric and Hybrid Vehicles, 2006. ICEHV '06. IEEE Conference on

Conference_Location

Pune

Print_ISBN

0-7803-9794-0

Electronic_ISBN

0-7803-9794-0

Type

conf

DOI

10.1109/ICEHV.2006.352276

Filename

4156551