• Industry Engineering, Semester 3, position 5
• Production Engineering, Semester 3, position 5
• Mechanics, Semester 3, position 5

The goal of the course is for students to acquire the necessary knowledge in the application, design, and implementation of modern computer control and monitoring systems in manufacturing automation, as well as to get skills for solving practical problems of computer control and monitoring in automation.

After completing this course the students should be able to: 1. Apply a stepper motor to actuate a mechanical system within the manufacturing process, including designing the hardware architecture and control system based on integrated microcontrollers; 2. Implement a system for moving two or more controlled axes using interpolation algorithms based on the direct search method; 3. Physically realize the task of multi-axis movement defined in G-code on a microcontroller platform with interpolation algorithms based on direct search methods; 4. Generate a program for the movement of anthropomorphic robots and achieve their integration with the sensor environment by including real-time signal processing; 5. Conceptualize a system for computer monitoring of the manufacturing process.

1. Computer control systems in manufacturing automation. CNC control, robot controllers, and programmable controllers. 2. CNC control. Functions, hardware, software, mathematical models. Main and auxiliary motion control, interpolation, and internal calculations. Control panel and programming. Communication functions. 3. Programmable controllers. Functions, hardware, software, input/output modules. 4. SCADA systems. Functions, hardware, software. Data acquisition, human-machine interface, programming, and control and monitoring algorithms. 5. Sensors and actuators for control and monitoring. Remote and intelligent terminal units. 6. Modern computer control systems and open-architecture control systems. Communication networks.

1. Calculation exercises: Tasks in control design and monitoring in manufacturing automation with programming and control scheme design. 2. Laboratory exercises: Practical realization of examples of control and monitoring in manufacturing automation in laboratory conditions using a computer-based control system, CNC control, and robots. 3. Project: Designing examples of control and monitoring in automation.

Defined by the Study Program Curriculum.

N. Slavković, Lectures for each lesson (handouts). L. Matijašević, B. Momčilović, Instructions for laboratory exercises (handouts). Course site containing essential information for students and a list of reference books. Resources of the Robotics & AI Laboratory and the Cybernetics and Mechatronic Systems Laboratory with industrial robots, microcontrollers, and sensors.

Total assigned hours: 75

New material: 20
Elaboration and examples (recapitulation): 10

Auditory exercises: 8
Laboratory exercises: 15
Calculation tasks: 2
Seminar paper: 0
Project: 5
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 2
Review and grading of seminar papers: 0
Review and grading of the project: 2
Test: 0
Test: 6
Final exam: 5

Activity during lectures: 10
Test/test: 30
Laboratory practice: 10
Calculation tasks: 0
Seminar paper: 0
Project: 20
Final exam: 30
Requirement for taking the exam (required number of points): 30

Suh Suk-Hwan, Seong Kyoon Kang, Dae-Hyuk Chung, Ian Stroud, Theory and design of CNC systems, Springer, ISBN 978-1-84800-335-4, 2008.; Mikell P. Groover, Automation, Production Systems, and Computer Integrated Manufacturing, Pearson Education, ISBN 978-0-13-349961-2, 2015..; Yoram Koren, Computer Control of Manufacturing Systems, McGraw-Hill Book Company, ISBN 0070353417, 1983.; David Bailey, Edwin Wright, Practical Scada for Industry, Esevier, ISBN 9780750658058, 2003.; Sciavicco L., Siciliano B., Мodelling and control of robot manipulators, Springer London, ISBN 978-1-85233-221-1, 2000.