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Speed sensorless IM control system based on MRAS and NN flux observers

机译:基于MRAS和NN磁通观测器的无速度传感器IM控制系统

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Many electronic drivers for the induction motor control are based on sensorless technologies. This paper proposes a novel hybrid motion sensorless control system to solve the low speed problems using MRAS and NN estimation scheme which is based on rotor flux. A multilayer feedforward artificial neural network is proposed for rotor flux estimation which is more robust to noise and stator resistance variation and does not have dc-drift problems which are usually associated with these adaptive schemes. A comparison between the performance of the neural network based strategy and conventional scheme is carried out. Simulation results are also presented to validate the proposed approach.
机译:用于感应电动机控制的许多电子驱动器都基于无传感器技术。本文提出了一种新颖的混合运动无传感器控制系统,该系统采用基于转子磁通的MRAS和NN估计方案来解决低速问题。提出了一种多层前馈人工神经网络用于转子磁链估计,该网络对噪声和定子电阻变化更鲁棒,并且不存在通常与这些自适应方案相关的直流漂移问题。将基于神经网络的策略与常规方案的性能进行了比较。仿真结果也被提出来验证所提出的方法。

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