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Electromechanical Engineering | Electronics and Automation | Mechatronics
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Information and Communication Technologies | Engineering
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English
About Program

Program Overview


University Programs

The university offers a range of programs, including:


  • Electrical Engineering
    • Curriculum
    • Study Plan
  • Intelligent Systems Eng.
    • Curriculum
    • Study Plan
  • Mechanical Engineering
    • Curriculum
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  • Smart Manufacturing Eng.
    • Curriculum
    • Study Plan

Intelligent Systems Engineering Technology

EMIS-4206: Integrated Automation

Course Details

  • Credit Hours: 3
  • Semester: 2
  • Pre-requisite: EMIS-2003, MATH2015
  • Notes: NA

Course Description

The purpose of this course is twofold: 1) to provide an introduction to Totally Integrated Automation (TIA). Topics covered in this part of the course include the automation pyramid, analogue sensors and actuators, STEP 7 functions, MPI-Bus and PROFIBUS systems, and systems troubleshooting. In the second part of the course, students will analyze and create a functional design of a complete system utilizing all sensors and actuators. The students will define their own unified programming specifications as well as system specifications according to industrial standards. After that, the participants will program complete modules of the real system including Graphical User Interfaces (GUIs) on Human Machine Interfaces (HMIs) and the connection of different modules via PROFINET as well as safety integration and the implementation of advanced motor control. Software handling will be an essential part of the course. The participants will learn to work with the Step7 software with its different features for programming and network setup, to create GUIs with WinCC Flexible and to use simulation tools such as SIMIT to test and evaluate their programs. The participants will read, analyze and use datasheets and diagrams of sensors and actuators implemented in the system. Additionally, they will use intelligent troubleshooting strategies to narrow down and pinpoint defective components on the real system. Lecture 2 hrs/wk, Lab 2 hrs/wk.


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