HomeResearchProject

Deep Learning for the Behavior of Linear Compressor Pistons

Deep learning–based sensorless control of linear compressor pistons with over 90% performance improvement.

PersonalTime-Series Representation Learning
2022.12 – 2023.12
Refrigerator CompressorMLPSensorless TechnologyPrecision ControlDNN
·Motivation
  • 80% of a refrigerator's total power consumption is consumed by the compressor.
  • Cooling is determined by the distance and position of piston movement.
·Goal

Precision control of the piston and sensorless technology are required.

·Data

Build an automated data-collection system measuring current, voltage, and stroke.

·Methodology
  • A four-layer Multi-Layer Perceptron (MLP) with drop-out.
  • Contribution: more than 90% performance improvement.
Deep Learning for the Behavior of Linear Compressor Pistons
Deep Learning for the Behavior of Linear Compressor Pistons
Deep Learning for the Behavior of Linear Compressor Pistons