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Simple and robust speed sensorless vector control of induction motor using stator current based MRAC

机译:使用定子电流基于定子MRAC的感应电动机简单耐用的速度无传感器矢量控制

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摘要

A novel rotor speed estimation method using model reference adaptive control (MRAC) is proposed to improve the performance of a sensorless vector controller. In MRAC methods, state variables, such as rotor flux and back EMF are estimated in a reference model and then compared with state variables estimated by using an adjustable model. The difference of these state variables is then used in an estimation of rotor speed. We propose a new MRAC method that uses the stator current as the state variable for estimating the speed. In conventional MRAC methods, the difference between state variables has the unclear relationship with the speed estimation error. But, in the proposed method, the stator current error is represented as a function of the first degree for the error value in the speed estimation. Therefore, the proposed method can produce a fast speed estimation and is robust to variations in the parameter error. In addition, the proposed method offers a considerable improvement in the performance of a sensorless vector controller at a low speed. The superiority of the proposed method is verified by simulation and experiments in a low speed region and at zero-speed.
机译:提出了一种使用模型参考自适应控制(MRAC)的新型转子速度估计方法,以提高无传感器矢量控制器的性能。在MRAC方法中,在参考模型中估计诸如转子通量和反向EMF的状态变量,然后与通过使用可调模型估计的状态变量进行比较。然后在转子速度的估计中使用这些状态变量的差异。我们提出了一种新的MRAC方法,该方法使用定子电流作为状态变量,以估计速度。在传统的MRAC方法中,状态变量之间的差异具有不明确的与速度估计误差的关系。但是,在所提出的方法中,定子电流误差被表示为速度估计中误差值的第一度的函数。因此,所提出的方法可以产生快速估计,并且对参数误差的变化是鲁棒的。此外,该方法还提供了在低速下无传感器矢量控制器的性能的显着提高。通过低速区域和零速度的仿真和实验验证所提出的方法的优越性。

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