Professional study programme

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Automatic Control SA501

ECTS 7 | P 45 | A 15 | L 15 | K 0 | ISVU 41148 175272 | Academic year: 2019./2020.

Course groups

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Course lecturers


Course description

Controller design in time domain. Analytical controller design methods. Standard types of control loop characteristic equation. Closed loop zeroes and prefilter design. Fixed set-point control and servo control. Control loop behaviour with respect to reference variable and disturbance. Improvement of dynamic properties of control system by introducing feedforward and cascade control. Control of multivariable systems. Coupled processes and their decoupling. Practical examples. Controller implementation and antiwindup. Basic properties and structure of discrete control systems. Digital controller. Parameter-optimal digital control algorithms. Sampling time selection. Control of processes with dead time. Basics of process identification. Introduction to sensitivity theory. Introduction to adaptive control systems. Model reference adaptive control and self-tuning controllers. Practical examples of adaptive control application.

Knowledge and skills acquired

In this course, students acquire knowledge of the advanced methods of control loop synthesis, as well as control algorithms for some specific types of processes. Additionally, students acquire the basic knowledge of digital control system properties and their implementation. Laboratory practice enables students to acquire skills in using the basic software tools for control system analysis and synthesis (Matlab) and learn about the methodology of practical implementation of a control system based on a digital controller.

Teaching methods

Lectures, auditory and laboratory exercises.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Student assessment

Laboratory exercises revision exam and final exam.

Obligatory literature

1. 1 Perić, N. Automatsko upravljanje - predavanja Zavodska skripta, FER, Zagreb, 2004.

2. 2 Perić, N. Automatizacija postrojenja i procesa - predavanja Zavodska skripta, FER, Zagreb, 2000.

Pretraži literaturu na:

Recommended additional literature

1. 1 Franklin, G.F., J.D. Powell, A.E. Naeini Feedback Control of Dynamic Systems Addison - Wesley Publishing Company, 1994.

2. 2 D Azzo, J.J., C.H. Houpis Linear Control System - Analysis and Design - Conventional and Modern McGraw-Hill, Inc.,

3. 3 Aström, K.J., B. Wittemark Adaptive Control Addison-Wesley Publishing Company, 1995.

Examination methods

Final exam consists of the written and oral exam.

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. explain the necessity to limit the controller output value, and describe the limitation procedure

2. explain the properties of pre-control and describe the control system based on controlling and pre-controlling

3. explain composite procedures, controlling problems, structure and function of composite controllers

4. explain the problems related to control of processes with dead time

5. analyse the behaviour of complex controlling systems using Matlab

6. describe the design of a digital controller and additional functions for improving the behaviour of digital control systems

7. explain control system sensitivity, the principle of adaptive control system operation and main methods for its implementation

Aktivnosti studenta: Vidi tablicu aktivnosti