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EKF-Based Estimation of Rotor Flux, Speed and Rotor Resistance in Cage Induction Motor Sensorless Drive

机译：基于EKF的笼式感应电动机无传感器驱动中的转子磁通，速度和转子电阻的估计

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摘要

Field-oriented control, published for the first time by Blaschke in his pioneering work in 1972, allows high performance speed and torque response to be achieved from an induction motor. The instantaneous magnitude and position of the rotor flux space vector must, at each time, be known with precision in order to achieve and maintain perfect field orientation. Instead of calculating these two variables via voltage integration, which may affect the performance of the overall system at low speed, a state observer must be used. Crucial to the success of this well-known technique is a priori knowledge of the rotor resistance which varies with frequency and temperature. The author believes that this is tie first paper ever published on estimation of rotor flux, speed and rotor resistance of an induction motor simultaneously using an Extended Kalman Filter (EKF). Simulation results show the effectiveness of the proposed method.
机译：磁场定向控制由布拉施克（Blaschke）于1972年在他的开创性工作中首次出版，它使感应电动机实现了高性能的速度和转矩响应。每次必须精确知道转子磁通量空间矢量的瞬时大小和位置，以实现并保持理想的磁场方向。代替通过电压积分来计算这两个变量（这可能会影响整个系统在低速下的性能），必须使用状态观察器。这种公知技术成功的关键是转子电阻的先验知识，该知识随频率和温度的变化而变化。作者认为，这是有关使用扩展卡尔曼滤波器（EKF）同时估算感应电动机的转子磁通量，速度和转子电阻的第一篇论文。仿真结果表明了该方法的有效性。

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