Study of the Electricity-Draw Control System in Electrical Engineering Based on Neural Network DTC

Lu Huan Shi; Yao Hui Li

doi:10.4028/www.scientific.net/AMR.676.209

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 676Study of the Electricity-Draw Control System in...

Study of the Electricity-Draw Control System in Electrical Engineering Based on Neural Network DTC

Abstract:

In the electricity draws control system, the change of Low-velocity area of Rs will bring about a series of problem, especially the stator current and flux, will cause the distortion of the speed pulse vibration. The test discussed control scheme and optimization designs of asynchronous draw motors from exchange transmission electric locomotive operation characteristic demand. It adopts control strategy of neural network direct torque control (DTC) to control electricity draw the locomotive, to analyze the reacting of starting and sudden change of load, verifying this method may effectively improve the dynamic performance of the asynchronous motor, got up the very good inhibitory action to the low speed area torque pulsation. Thus the simulation results have proven the neural network DTC control strategy feasibility.

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Periodical:

Advanced Materials Research (Volume 676)

Pages:

209-212

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.676.209

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Online since:

March 2013

Authors:

Lu Huan Shi, Yao Hui Li

Keywords:

Asynchronous Draw Motor, Direct Torque Control (DTC), MATLAB, Neural Network (NN)

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