The sensorless of induction motor field-oriented control employing stator voltages and currents has difficulty in estimating rotor flux in the low-speed range.
在低速范围内，对无传感器感应电动机进行矢量控制时用定子电压和电流推算转子磁通是比较困难的。
This method is compared to the well-known direct field-oriented control (FOC) and stator flux vector control (SFVC) methods.
将该方法和著名的直接磁场定向控制(FOC)和定子磁通矢量控制(SFVC)进行比较。
Then the components between torque and magnetic field of stator winding current are decoupled which uses the rotor-field-oriented technology.
利用转子磁场定向的矢量控制技术，实现了异步电机定子电流的转矩分量和励磁分量的解耦。
A self - calibrating algorithm for rotor field - oriented control only using measurements of the stator currents and rotor speed of an induction motor is parented.
介绍感应电动机矢量控制系统中转子磁场定向的一种自校准算法。
To estimate flux magnitude and direction, a Kalman filter is built by using stator current and PM flux as state variables under magnetic field oriented coordinate.
通过选择磁场同步旋转坐标系下定子电流和永磁体磁链为状态变量，构建估算转子永磁体磁链幅值和方向的卡尔曼滤波器。
This paper adopted the sensorless control scheme based on stator field oriented control and adaptive low-pass filter theory. and carried out simulation, program, and experiment works.
本文在查阅了大量文献资料后，采用了基于定子磁场定向控制和自适应低通滤波器的无速度传感器算法，并进行了大量的仿真、编程和实验工作。
This paper adopted the sensorless control scheme based on stator field oriented control and adaptive low-pass filter theory. and carried out simulation, program, and experiment works.
本文在查阅了大量文献资料后，采用了基于定子磁场定向控制和自适应低通滤波器的无速度传感器算法，并进行了大量的仿真、编程和实验工作。
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