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Related Concept Videos

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...

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Related Experiment Video

Updated: May 28, 2026

Prescribed 3-D Direct Writing of Suspended Micron/Sub-micron Scale Fiber Structures via a Robotic Dispensing System
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Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl.

Kun Xia1, Di Zhao1, Qingqing Yuan1

  • 1Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
Summary
This summary is machine-generated.

This study enhances automated fiber placement for aerospace composites by developing a 10-axis synchronous motion control system. It significantly reduces thermal errors and speeds up component production, improving accuracy and efficiency.

Keywords:
BP neural networkCNC systemgenetic algorithmgrid-filament-winding machinethermal error compensation

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Area of Science:

  • Aerospace Engineering
  • Manufacturing Technology
  • Robotics and Control Systems

Background:

  • Large-scale aerospace composite component manufacturing requires advanced automated fiber placement (AFP) equipment.
  • Existing AFP systems face challenges in coordinated multi-axis motion and thermal error compensation.
  • Optimizing AFP processes is crucial for efficiency and precision in aerospace production.

Purpose of the Study:

  • To investigate coordinated motion characteristics of multi-axis systems in AFP equipment.
  • To develop a comprehensive motion control scheme for grid-based fiber placement machines.
  • To propose a thermal error compensation method for AFP equipment.

Main Methods:

  • Developed a 10-axis synchronous motion control scheme using Siemens 840D CNC system.
  • Integrated filament-winding and tape-laying functionalities on a unified platform.
  • Implemented a genetic algorithm-optimized BP neural network (GA-BP) for thermal error compensation.

Main Results:

  • Reduced maximum thermal errors of Z-axis by 36.7% and X3-axis by 53.3%.
  • Decreased core mold placement time to 61% of the specified duration.
  • Achieved notable enhancements in trajectory accuracy and processing efficiency.

Conclusions:

  • The study provides a technical framework for multi-axis cooperative control and thermal error compensation in AFP.
  • The proposed methodology balances precision, efficiency, and system integration for complex composite manufacturing.
  • This research offers critical insights for advancing automated manufacturing technologies in aerospace composite applications.