基于神经网络的电动汽车推进系统DTC IM驱动

2006 IEEE Conference on Electric and Hybrid Vehicles Pub Date : 2006-12-01 DOI:10.1109/ICEHV.2006.352276

B. Singh, P. Jain, A. Mittal, J. Gupta

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引用次数: 11

摘要

研究了一种基于神经网络的电动汽车推进系统异步电动机直接转矩控制方法。该方案采用多层神经网络代替传统的切换查找表。利用MATLAB对基于神经网络的IM驱动直接控制方案进行了仿真。仿真结果证明了基于神经网络的IM驱动直接转矩控制方案的有效性。提出的基于神经网络的直接转矩控制方案在很大程度上降低了IM驱动的转矩和电流波动。

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Neural Network Based DTC IM Drive for Electric Vehicle Propulsion System

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.

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2006 IEEE Conference on Electric and Hybrid Vehicles

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