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Mechatronic automatic control system of electropneumatic manipulator.

Olena Nazarova1, Volodymyr Osadchyy2, Taras Hutsol3,4

  • 1Department of Electric Drive and Automation of Industrial Equipment, Zaporizhzhia Polytechnic National University, Zhukovsky, 64, Zaporizhzhia, 69-063, Ukraine. nazarova16@gmal.com.

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A new laboratory stand and computer model enhance the study of electropneumatic automation systems. This digital twin approach improves control system development and training for pneumatic manipulators.

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Area of Science:

  • Mechatronics and Industrial Automation
  • Control Systems Engineering
  • Pneumatic Systems

Background:

  • Electropneumatic automation systems are crucial in industrial settings.
  • Developing and testing control systems for pneumatic manipulators presents challenges.
  • Traditional methods may lack the flexibility for complex system analysis.

Purpose of the Study:

  • To develop a laboratory stand and computer model for studying mechatronic control systems of pneumatic manipulators.
  • To enable research into safety and quality indicators under manual and software control.
  • To facilitate fault detection and elimination in automatic control systems.

Main Methods:

  • Development of a laboratory stand with a microcontroller (ADuC841) for software control.
  • Creation of a computer model for preliminary experiments and simulation.
  • Comparative study of control systems: relay-contactor, GrafCet, and virtual controller.
  • Utilizing a "digital twin" approach combining computer and physical modeling.

Main Results:

  • The developed laboratory stand and model provide a real-time digital twin of the mechatronic system.
  • Software control mode allows for simulation of technological processes and fault analysis.
  • The combined modeling approach simplifies control system development and enhances student training.

Conclusions:

  • The integrated laboratory stand and simulation model effectively reduce complexity in control system development.
  • This approach enhances students' analytical skills and decision-making abilities.
  • Optimizing pneumatic manipulator mechatronic systems improves efficiency, productivity, speed, and accuracy for industrial applications.