论文标题
使用压力和逆变器驱动数据估算电动机系统的负载点
Estimating load points of a motor-pump system using pressure and inverter drive data
论文作者
论文摘要
我们提出了一种新的方法，用于估算由渐进式腔泵（PCP）组成的电动机系统的转子位置，速度和扭矩，该系统由电动电动机驱动，该电动机在V/F开放环控制下运行。我们通过将相位锁定环应用于泵的压力侧的压力信号来计算PCP的速度和转子位置。扩展的卡尔曼滤波器用于根据感应电动机的定子电流和非线性电动机模型的速度，有效值估算PCP的扭矩。此外，我们得出了可拖延的条件，在该条件下，可以保证观察者的收敛性。我们使用实验室实验来验证我们的结果。
We propose a novel method for the estimation of rotor position, speed, and torque of a motor-pump system consisting of a progressive cavity pump (PCP) driven by an induction motor which operates under V/f open-loop control. We compute the speed and rotor position of the PCP by applying a phase locked loop to the pressure signal at the pressure side of the pump. An extended Kalman filter is used to estimate the torque of the PCP based on the speed, effective value of the stator current of the induction motor and a nonlinear motor model. Furthermore, we derive a tractable condition under which the convergence of the observer is guaranteed. We use a laboratory experiment to verify our results.
