Research on yarn tension control technology for knitting underwear machine based on adaptive ADRC

Area of Science:

• Textile Engineering
• Control Systems Engineering
• Mechanical Engineering

Background:

• Unstable yarn tension in knitting underwear machines leads to fabric defects like uneven density and reduced resilience.
• Traditional yarn feeding methods suffer from slow response speeds and low tension control accuracy.
• These issues negatively impact the comfort and durability of textile products.

Purpose of the Study:

• To design and evaluate a novel tension control system for the yarn feeding process in knitting underwear machines.
• To address the limitations of traditional methods by improving response speed and control accuracy.
• To enhance the overall quality and performance of knitted underwear fabric.

Main Methods:

• Developed a tension control system utilizing an adaptive ADRC (Active Disturbance Rejection Control) algorithm based on fuzzy sliding mode control.
• Implemented permanent magnet synchronous motor vector control technology for precise motor speed adjustment.
• Constructed a tension controllable yarn feeding experimental platform to simulate knitting machine operation and test the system.

Main Results:

• The adaptive ADRC-based system reduced tension fluctuation amplitude by over 33% compared to PID and standard ADRC algorithms.
• Average response time was shortened by more than 35% in the adaptive ADRC system.
• The system demonstrated superior performance in stabilizing yarn tension and adapting to varying fabric elasticity and knitting speeds.

Conclusions:

• The adaptive ADRC tension control system significantly enhances yarn feeding stability and precision.
• The improved control meets diverse fabric elasticity demands and specific knitting process requirements.
• This leads to enhanced fabric quality, comfort, and durability in knitted underwear products.