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ANN based Flux Estimator for Rotor Resistance Estimation in Vector Controlled IM Drives

机译:基于ANN基于转子电阻估计的通量估计控制IM驱动器

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In this paper, artificial neural network (ANN) is proposed to estimate d and q-axis rotor fluxes for rotor resistance estimation. Accurate value of rotor resistance is essential for good performance of vector controlled IM drive. The rotor resistance can be estimated from state synthesis equations. The state synthesis equations (SSE) demand the need of flux components. Conventional Voltage model (VM) used for flux computation fails due to low speed problems. Hence, ANN is proposed for flux computation. The proposed ANN based flux estimator is shown to perform well for various test conditions for rotor resistance estimation and overcome the low problems.
机译:本文提出了人工神经网络(ANN)来估计用于转子电阻估计的D和Q轴转子通量。转子电阻的精确值对于矢量控制IM驱动器的良好性能至关重要。可以从状态合成方程估计转子电阻。状态合成方程(SSE)要求助焊剂组分的需要。由于低速问题,用于磁通计的传统电压模型(VM)失败。因此,建议ANN用于助焊剂计算。所提出的ANN基磁通估计器显示在对转子电阻估计的各种测试条件下表现良好,并克服了低问题。

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