Automation of Plants and Processes

Data is displayed for the academic year: 2024./2025.

Lecturers

Assoc. Prof.
Vinko Lešić
PhD
Prof.
Mario Vašak
PhD

Laboratory exercises

Mateja Car
PhD

Course Description

Basics of reliability and safety calculations in systems of automation of plants and processes. Options of implementation and tuning of PID controllers in process automation. Modes of representation and control of multi-variable processes, including basics of predictive control. Modes of control of time-delay systems, including predictive control and Smith predictor. Typical configurations of processes in industry and controls in them: processes of moving, storing and mixing fluids, heat transfer processes, processes of materials shaping and moving.

Prerequisites

Basic knowledge in automatic control

Study Programmes

University graduate
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Learning Outcomes

  1. Analyze reliability and safety of an automation system
  2. Assemble PID controller in an automation system
  3. Apply techniques of modelling and control of multi-variable systems
  4. Employ simple predictive control algorithms for processes in automation systems
  5. Design an algorithm for control of a time-delay process
  6. Prepare a mathematical model and a viable control option for a process of fluids moving, storage and/or mixing
  7. Prepare a mathematical model and a viable control option for a heat transfer process
  8. Prepare a mathematical model and a viable control option for a process of shaping and moving of materials

Forms of Teaching

Lectures

Lectures.

Seminars and workshops

Seminar with a fairly complex process automation task. Use of Matlab package.

Exercises

Numerical examples.

Laboratory

Two laboratory exercises, with usage of Matlab package.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 20 % 0 % 0 %
Seminar/Project 0 % 20 % 0 % 0 %
Mid Term Exam: Written 0 % 25 % 0 %
Final Exam: Written 0 % 35 %
Exam: Written 60 % 0 %
Exam: Oral 10 %
Comment:

Seminar and laboratory exercises contribute with 40% points on continuous classes and 30% on non-continuous exams.

Week by Week Schedule

  1. Hardware redundancy in automation systems: process computer, communication network, sensors and actuators, Software redundancy in automation systems, Basic reliability terms and calculations: reliability, mean time between failure, mean time to repair, availability
  2. Reliability diagrams: reliability of series- and parallel-connected elements, Reliability of common hardware and software redundancy structures, Basic safety terms and calculations
  3. PID control implementation in the automation system, Standardized blocks for industrial PID control in PLCs and examples of use
  4. Relay method for PID controller tuning
  5. Canonical input-output representations of multivariable systems
  6. Design of decoupling controllers for MIMO systems
  7. Predictive control of plants and processes, Model-based time-delay compensation in control systems, Smith predictor
  8. Midterm exam
  9. Control of fluids storage processes; Ratio control
  10. Control of fluids storage processes; Ratio control
  11. Control of heat transfer processes
  12. Control of heat transfer processes
  13. Control of processes of forming and moving materials; Tension force control
  14. Control of processes of forming and moving materials; Tension force control
  15. Final exam

Literature

Perić, Nedjeljko; Petrović, Ivan; Vašak, Mario. (2013.), Procesna automatizacija, FER
Ogunnaike, Ray (1994.), Process Dynamics, Modelling and Control, Oxford University Press

General

ID 222475
  Summer semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
6 Exercises
21 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

87.5 Excellent
75 Very Good
62.5 Good
50 Sufficient

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