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Related Concept Videos

Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Root-Locus Method01:19

Root-Locus Method

A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block diagram,...
Control System Problem01:21

Control System Problem

In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
Control Systems: Applications01:25

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...

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Related Experiment Video

Updated: Jun 11, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Design of a drive and control integrated intelligent loom control system based on the FOC algorithm.

Ziyong Zhai1, Zhaochong Hou2, Xuezheng Yang2

  • 1Shandong Rifa Textile Machinery Co., Ltd., Liaocheng, Shandong, China. zhaizy@rifagroup.com.

Scientific Reports
|June 9, 2026
PubMed
Summary

This study introduces an integrated drive system for ultra-high-speed air-jet looms, improving efficiency and reducing energy consumption. An AI-powered fabric inspection system using YOLOv8n enhances defect detection speed and accuracy in textile manufacturing.

Keywords:
Drive and control integrationFOCIntelligent loomSOCYOLOv8n

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Last Updated: Jun 11, 2026

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Operation of the Collaborative Composite Manufacturing (CCM) System
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Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Area of Science:

  • Textile Engineering
  • Automation and Control Systems
  • Artificial Intelligence

Background:

  • Ultra-high-speed air-jet looms face challenges with energy consumption, system integration, and operational stability in their drive systems.
  • Manual fabric quality inspection is inefficient and inconsistent, hindering modern textile production.
  • Existing drive and control systems lack the integration and intelligence required for advanced loom operation.

Purpose of the Study:

  • To develop an integrated drive and control system for ultra-high-speed air-jet looms to enhance efficiency and reduce power consumption.
  • To create an intelligent fabric quality inspection system for real-time, accurate defect detection in textiles.
  • To provide an intelligent technical solution for textile machinery, improving overall production quality and efficiency.

Main Methods:

  • Constructed an integrated software/hardware architecture for a "three-in-one" drive system (main shaft, warp, and take-up motors).
  • Developed a multi-axis coupled drive model and proposed a method for electromechanical parameter monitoring and information fusion.
  • Proposed an intelligent fabric quality inspection system utilizing an improved YOLOv8n algorithm trained on a custom dataset of fabric defects.

Main Results:

  • The integrated drive system enhances loom efficiency and reduces power consumption through vector control and field-weakening control.
  • The improved YOLOv8n algorithm achieved 98.4% mAP_0.5 for fabric defect detection with a speed of 156 FPS.
  • The fabric inspection system accurately detects defects (e.g., broken yarns, stains) over 0.3mm with <0.15% false detection rate, meeting production line requirements.

Conclusions:

  • The developed integrated drive and control system effectively addresses challenges in ultra-high-speed air-jet loom operation.
  • The intelligent fabric quality inspection system significantly outperforms traditional methods in speed and accuracy.
  • These advancements offer a viable technical solution for the intelligent transformation of textile machinery, demonstrated by successful application in specific loom models.