Automatic Control

Course guarantor:

Martin Hromčík

Lecturer:

Tomáš Haniš, Martin Hromčík

Tutor:

Jan Belák, Tomáš Haniš, Martin Hromčík

Supervisor:

Department of Control Engineering

Synopsis:

Foundation course of automatic control. Introduction to basic concepts and properties of dynamic systems of physical, engineering, biological, economics, robotics and informatics nature. Basic principles of feedback and its use as a tool for altering the behavior of systems and managing uncertainty. Classical and modern methods for analysis and design of automatic control systems. Students specialized in systems and control will build on these ideas and knowledge in the advanced courses to follow. Students of other branches and programs will find out that control is a inspiring, ubiquitous and entertaining field worth of a future cooperation.

Requirements:

Linear algebra fundamentals (vector spaces, matrix algebra, linear mappings, coordinates transformation, eigenvalues and eigenvctors, Jordan canonical form). Calculus fundamentals (derivatives, integrals, sets of linear ordinary differential equations). Integral transforms (Laplace transform, Fourier transform, Z-transform).Familiarity with Matlab (code-writing, data structures and classes, simulation of dynamical systems in Simulink).

Syllabus of lectures:

1.Introduction

2.System Modeling

3.Dynamic Behavior

4.System Properties

5.Stability

6.Feedback

7.Root Locus

8.Frequency domain methods

9.State space methods

10.Polynomial methods

11.Digital Control

12.Robust Control

13.Nonlinear Systems

14.More Complex systems

Syllabus of tutorials:

1.Safety and other rules, Introduction to lab experiments

2.Software: Matlab, System Control Toolbox, Polynomial Toolbox, Simulink 3.Nonlinearity and linearization

4.Systems, models, identification, analysis

5.Lab assignment - Identification

6.Lab assignment - Identification and analysis

7.Practical controller design

8.Lab assignment - Control design

9.Lab assignment - Control design

10.Presentation of the lab assignment result

11.Discrete-time systems and models

12.Simulation assignment

13.Presentation of the simulation assignment result

14.Practical test: Analysis and design

.

Study Objective:

Study materials:

1.Richard C Dorf, Robert H. Bishop: Modern Control Systems. Prentice Hall;

11 edition, 2007. ISBN: 0132270285

2.J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of

Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300

3.Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.

ISBN-10:0471794759

4.Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10:

1556179421

5.Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice

Hall 3 ed. 1996. ISBN-10: 0133148998

Note:

Further information:

https://moodle.dce.fel.cvut.cz/course/view.php?id=62

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomKN:E-126 Hromčík M. 08:15–10:00 (lecture parallel1) Karlovo nám. roomKN:E-126 Hromčík M. 14:30–16:00 (lecture parallel1) Karlovo nám.
Tue
Wed
Thu	roomKN:E-26 Belák J. 12:45–14:15 (lecture parallel1 parallel nr.101) Karlovo nám. roomKN:E-26 Belák J. 14:30–16:00 (lecture parallel1 parallel nr.102) Karlovo nám.
Fri

The course is a part of the following study plans:

• Electrical Engineering and Computer Science (EECS) (compulsory elective course)
• Electrical Engineering and Computer Science (EECS) (compulsory elective course)