An Ironing Press with Artificial Intelligence was Invented at St. Petersburg State University of Industrial Technologies and Design

A system based on fuzzy modeling controls temperature, pressure, and steam consumption

Specialists from the St. Petersburg State University of Industrial Technologies and Design (SPbGUITD) have developed an automatic control system for an ironing press for garment factories. The new technology, based on fuzzy modeling, is designed to replace existing algorithms for moist-heat treatment of fabrics.

Traditional ironing presses are often set up for specific types of fabrics. When switching to new materials, the quality of processing may decrease. The development of St. Petersburg scientists solves this problem: the system monitors three key parameters in real time—temperature (from 80 to 250 degrees), steam consumption (from 100 to 300 grams per minute), and steam pressure (from 0.1 to 0.5 megapascals)—and instantly responds to deviations.

The system is resistant to changes in external conditions. It is able to automatically regulate the power of heating elements (from 2 to 6 kW·h) and the angle of rotation of pressure and steam flow valves (from 0 to 90 degrees). This ensures uniform and high-quality ironing regardless of the composition of the fabric.

The study was conducted using Matlab, Simulink, and FuzzyTech software. The results are published in the journal "Technology of the Textile Industry."

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Sources:
TASS Agency

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