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A modular PLC simulation method for virtual replication of a cost-effective industrial automation laboratory
Musa Al-Yaman1, Dana Alswaiti1, Ahmad Birawi1
1Mechatronics Engineering Department, The University of Jordan, Amman, Jordan.
This study introduces a novel modular simulation method for programmable logic controller (PLC) training. The virtual laboratory accurately replicates physical systems, enabling effective hands-on automation education without hardware costs.
Area of Science:
- Engineering
- Computer Science
- Education
Background:
- Hands-on programmable logic controller (PLC) training is hindered by the expense and complexity of physical automation laboratories.
- Existing simulation tools often fail to align with real hardware, limiting their educational value.
Purpose of the Study:
- To present a modular PLC simulation method for accurate virtual replication of a cost-effective industrial automation laboratory.
- To provide an effective alternative for PLC training that overcomes the limitations of physical labs and current simulation software.
Main Methods:
- Developed a modular simulation framework in Unity, integrating a custom ladder logic execution engine with interactive 3D models.
- The virtual environment precisely mirrors the input/output structure and behavior of a physical automation laboratory.
- Enabled users to program, test, and debug PLC logic within a realistic virtual setting with immediate visual feedback.
Main Results:
- Validated the simulation method by comparing its outputs against a physical system for traffic light control, elevator operation, and automated filling systems.
- Achieved functional equivalence, with virtual and physical setups producing matching I/O sequences within ±10ms for all tested automation tasks.
- Confirmed the simulation's ability to accurately reflect real-world PLC operational behavior.
Conclusions:
- The proposed modular simulation method offers a cost-effective and scalable solution for PLC training.
- The virtual laboratory accurately replicates physical systems, enhancing the effectiveness of automation education.
- This approach provides a viable alternative for practical PLC programming and debugging without the need for physical hardware.
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