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Estimation of the rotor resistance in induction motor by application of the spiral vector theory associate to extended Kalman filter

机译:螺旋向量理论与扩展卡尔曼滤波器的螺旋矢量理论辅助电动机转子电阻估计

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For guaranteed a good performances in transient and steady state in vector control of induction motor. It's necessary to conceive a insensible regulation to parameters variations, in particular rotor resistance, for fix this problem, the innumerable works are devoted to rotor resistance. But all of this works use park's model of induction motor, for estimate this resistance. However this model use a hefty geometric transformation to calculate. In this paper the authors propose for the first time the application of extended Kalman filter to rotor resistance estimation in induction motor by taking account of spiral vector theory. The model obtained by the spiral vector theory permits to obtain a reduction in model order and permits also to use only two sensors (one for current and one for voltage) to opposite of the park's model where it's necessary four sensors two for current and two for voltage).
机译:为了保证感应电动机矢量控制中的瞬态和稳态的良好表现。必须设想对参数变化,特别是转子电阻,用于解决这个问题,无数的工程致力于转子电阻的可粗调节。但所有这项工作都使用公园的感应电机型号,用于估计这种阻力。然而,此模型使用余性的几何变换来计算。本文通过考虑螺旋向量理论,第一篇作者提出了第一次应用扩展卡尔曼滤波器在感应电动机转子电阻估计。通过螺旋矢量理论获得的模型允许在园区的模型中仅使用两个传感器(一个用于电流和一个电压)的传感器(一个用于电压,一个电压),其中有四个传感器两个用于电流和两个电压)。

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