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Implementation of a speed sensor-less vector control of induction motor by reduced-order extended Kalman filter

机译:用降阶扩展卡尔曼滤波器实现感应电动机的无速度传感器矢量控制

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The extended Kalman filter (EKF) has been known to be correctly capable of estimating system parameters and state variables by eliminating virtually all influences of structural noise in the field-oriented control scheme for induction motors. This paper presents a design method of a reduced-order extended Kalman filter which consists of rotor speed and flux estimation only by measuring stator currents. The proposed method has some advantages of saving computation time in comparison with the full-order extended Kalman filter. For the noise reduction, robust speed sensorless vector control is realized in the thesis. Experimental results show the effectiveness of the control strategy proposed here for induction motor drives.
机译:扩展卡尔曼滤波器(EKF)已知能够通过消除感应电机的磁场定向控制方案中的结构噪声的几乎所有影响来正确估计系统参数和状态变量。本文提出了一种降阶扩展卡尔曼滤波器的设计方法,该方法仅通过测量定子电流而包括转子速度和磁通估算。与全阶扩展卡尔曼滤波器相比,该方法具有节省计算时间的优点。为了降低噪声,本文实现了鲁棒的无传感器速度矢量控制。实验结果表明,本文提出的用于感应电动机驱动器的控制策略是有效的。

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