Software Complex for Sensorless Control of an Electrical Submersible Pump

The article describes design principles of sensorless observing and control system of electrical submersible pump (ESP)'s induction motor based on dynamic state estimation using an unscented Kalman filter (UKF). The artificial lift method with electrical submersible pumps in the oil industry is...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2024-01, Vol.24 (1), p.830-843
Main Authors: Iudin, Rostislav, Petrochenkov, Anton, Solodkiy, Evgeniy, Vishnyakov, Denis, Krause, Bernd, Salnikov, Saveliy
Format: Article
Language:English
Subjects:
Control systems
Electric drives
Electrical submersible pump (ESP)
Flow velocity
Fluid flow
induction motor
Induction motors
Kalman filters
Machine learning
Mathematical models
Oils
Parameters
Principles
Pumps
Regulators
sensorless control and parameters observing
State estimation
submersible electrical motor (SEM)
Torque
Underwater vehicles
unscented Kalman Filter (UKF)
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The article describes design principles of sensorless observing and control system of electrical submersible pump (ESP)'s induction motor based on dynamic state estimation using an unscented Kalman filter (UKF). The artificial lift method with electrical submersible pumps in the oil industry is associated with measurements of technological parameters from which oil fluid flow rate is one of the most important. To develop sensorless control and parameters observing system, the design principles of flow rate observers were proposed. The main possible scenarios for flow rate observation are considered, including those using surface-mounted sensors. This article also considers issues relating to the limitations in flow rate observation by usage pump catalog characteristics, involving control electric drive test signals changing the pump rotational speed. Overcoming these problems is proposed for the electrical submersible pump's flow rate observing system based on a machine-learning model. The simulation results using a complex electrical submersible pump model confirming the efficiency of the proposed methods are provided.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3331354