Neural network based DTC IM drive for electric vehicle propulsion system

Singh, Bhim ; Jain, Pradeep ; Mittal, A. P. ; Gupta, J. R. P. (2006) Neural network based DTC IM drive for electric vehicle propulsion system In: IEEE Conference on Electric and Hybrid Vehicles, 2006 ICEHV '06, 18-20 Dec. 2006, Pune, India.

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Official URL: http://ieeexplore.ieee.org/document/4156551/

Related URL: http://dx.doi.org/10.1109/ICEHV.2006.352276

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.

Item Type:Conference or Workshop Item (Paper)
Source:Copyright of this article belongs to Institute of Electrical and Electronics Engineers.
Keywords:Neural Network; DTC; Electric Vehicle; Induction Motor
ID Code:110270
Deposited On:04 Aug 2017 11:58
Last Modified:04 Aug 2017 11:58

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