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Modelling on BLDC motor performance using artificial neural network (ANN)

机译:使用人工神经网络(ANN)对BLDC电机性能进行建模

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摘要

Brushless direct current (BLDC) motor is now widely used for industrial and automotive field since its efficiency is higher than a permanent motors and it has relatively small size. Therefore modelling of BLDC was necessary for its application. The objective of this research was to investigate the performance of BLDC motor modeled by using ANN. The target for this work was to get the maximum power consumption of a BLDC motor. Back propagation algorithm based ANN was then applied in order to achieved the efficiency target. For ANN, torque and angular velocity was set as the input. Power consumption efficiency was set as the output. The ANN model showed good performance with average of error of 0.5 and MSE of 1.5. It was concluded that an accurate prediction can be performed by using ANN.
机译:无刷直流(BLDC)电动机由于其效率高于永久电动机并且具有相对较小的尺寸,因此现在已广泛用于工业和汽车领域。因此,BLDC的建模对于其应用是必要的。这项研究的目的是研究使用ANN建模的BLDC电机的性能。这项工作的目标是获得BLDC电机的最大功耗。然后应用基于ANN的反向传播算法来达到效率目标。对于ANN,将扭矩和角速度设置为输入。将功耗效率设置为输出。 ANN模型表现出良好的性能,平均误差为0.5,MSE为1.5。结论是,可以使用ANN进行准确的预测。

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