The Twelfth Entrepreneurship Project at the Faculty of Engineering, University of Maysan

This project presents the design and implementation of a simplified industrial automation system based on a Programmable Logic Controller (PLC) to control the operation of a DC fan motor. The system simulates real-world ventilation and cooling control applications commonly deployed in industrial facilities, workshops, and automated environments.

The PLC functions as the central control unit, receiving input signals from Start and Stop push buttons as well as from a sensor element. These inputs are processed according to a preconfigured ladder logic program, after which the PLC issues output commands to control the DC fan motor. This architecture reflects standard industrial control topology, where discrete inputs are logically evaluated to actuate output devices.

The educational control panel developed for this project includes:

  • PLC unit
  • DC fan motor
  • Start/Stop push buttons
  • Sensor unit
  • Appropriate DC power supply

Operationally, when the Start push button is pressed, the PLC energizes the output relay, activating the DC fan. Pressing the Stop button immediately interrupts the control circuit and de-energizes the motor. The integrated sensor enables automated operation by switching the fan ON or OFF in response to environmental or positional conditions (e.g., object detection or environmental variation), thereby demonstrating the principles of closed-loop industrial automation and intelligent control logic.

From an academic perspective, the project serves as a practical training platform for understanding:

  • PLC ladder logic programming
  • Industrial control circuit design
  • Digital input/output interfacing
  • Relay-based motor actuation
  • Automation system integration

The system can be further expanded to incorporate advanced features such as variable speed control using PWM or analog output modules, integration with Human-Machine Interface (HMI) displays, data logging, or networking within larger industrial control systems.

Supervision:
Lecturer Al-Hussein Muhammad Jumaa

Prepared by Electrical Engineering Department Students – Second Stage – Evening Study:
Muhammad Reda Ali Abdel Zahra
Muqtada Mansour Mohsen
Ahmed Rahim Awda
Amjad Ali Sari

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