Estimating load points of a motor-pump system using pressure and inverter drive data

TL;DR

This paper introduces a new method to estimate rotor position, speed, and torque in a motor-pump system using pressure signals and inverter data, verified through laboratory experiments.

Contribution

It presents a novel approach combining phase locked loop and extended Kalman filter for accurate estimation in a V/f controlled motor-pump system.

Findings

Successful estimation of rotor position and speed using pressure signals.

Accurate torque estimation with extended Kalman filter.

Verification through laboratory experiments confirms effectiveness.

Abstract

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.