Comparative Analysis of Various DTC Control Techniques on BLDC Motor for Electric Vehicle

Mayuri S. Patil, Rameshwari Medhane, S. Dhamal
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引用次数: 4

Abstract

Electric vehicles are in the verge to getting advancement with boost from private operators and government policies. Brushless DC motor is electronically commuted motors which does not have brushes. BLDC motors have a higher efficiency compared to brush motor. With Sensor BLDC motors are facing problems of sensitive, and space. In sensor-less methods, control scheme needs to evaluate the operation by measuring by back EMF generated. In BLDC motor, direct torque control method can result in high torque ripples. In this paper, we have compared the conventional DTC with modified adaptive DTC with PID controller and further the results are compared with Artificial Neural Network based DTC method to check the operation of control system and its stability. The operation is justified and verified using MATLAB simulation.
电动汽车无刷直流电机各种直接转矩控制技术的比较分析
在私人运营商和政府政策的推动下,电动汽车即将取得进展。无刷直流电动机是电子换向电机,没有电刷。无刷直流电机比有刷电机具有更高的效率。采用传感器的无刷直流电动机面临着灵敏度、空间等问题。在无传感器方法中,控制方案需要通过测量产生的反电动势来评估操作。在无刷直流电动机中,直接转矩控制方法会导致转矩波动较大。本文将传统的直接转矩控制方法与PID控制的改进自适应直接转矩控制方法进行了比较,并与基于人工神经网络的直接转矩控制方法进行了比较,以检验控制系统的运行情况及其稳定性。通过MATLAB仿真验证了该方法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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