Course: Automatic Control 2

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Course title Automatic Control 2
Course code KKY/AŘ2
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Tůma František, Doc. Ing. CSc.
Course content
Subject build up the theory of automatic control of discrete linear dynamical systems. The basics of the logical systems, nonlinear systems and fuzzy systems are mention too. Deal with: Discretization of continuous signal, discrete time and sampling theorem. Discrete system description techniques, difference equation and z-transfer function. Stability of discrete systems, Jury's stability test. Quality and design of the PSD controllers. Design of the logical systems, Boole's algebra, Karnaugh's map minimization. Theory of nonlinear systems, Ljapunov's theorem of stability. Fuzzy systems, fuzzy versus crisp sets, membership function, fuzzyfication, inferrence and defuzzification rules, fuzzy logic control possibilities.

Learning activities and teaching methods
Lecture supplemented with a discussion, Laboratory work, Students' self-study, Self-study of literature
  • Contact hours - 26 hours per semester
  • Preparation for an examination (30-60) - 35 hours per semester
  • Practical training (number of hours) - 13 hours per semester
  • Preparation for formative assessments (2-20) - 4 hours per semester
prerequisite
Knowledge
have a basic knowledge of the mathematical analysis and linear algebra
have a basic knowledge of introductory college courses in Physics and Electrical Engineering
have a basic knowledge of computers and programming at the introductory college courses (Matlab/Simulink)
know the basic principles of automatic control linear dynamical systems (course KKY / AŘ1)
Skills
actively use basic methods of mathematical analysis and linear algebra
independently solve given the simulation tasks in the laboratory
in the form of technical reports describe and process the results of own laboratory work
solve the given laboratory simulation tasks using tools Matlab-Simulink
Competences
N/A
N/A
N/A
N/A
learning outcomes
Knowledge
classify basic types of systems (especially discrete systems, nonlinear systems, fuzzy logic systems and systems)
solve practical problems to design basic types of controllers and their optimal setting
Skills
recognize basic control tasks and exchange of information in different systems (especially discrete systems, logic systems and fuzzy systems)
discretization of the analogue signal (discrete time and sampling period)
describe discrete linear systems (inner and outer systems description - differential equations, transfer function in the Z-transform, state space approach)
acces dynamic and frequency characteristics of discrete systems
acces stability and quality of discrete systems (Jury criterion)
correctly apply the principles of automatic control for synthesis discrete optimal systems of automatic control (regulators), particularly for industrial applications.
describe nonlinear system and evaluate their stability by Lyapunov method
design combinational logic circuits using Boolean algebra (ÚNDF, minimization, NAND and NOR implementation)
describe of the fuzzy system; fuzzy sets, fuzzy approximation; fuzzification, Mamdani inference, defuzzification
design a simple fuzzy controller in Matlab (Fuzzy Logic Toolbox)
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Lecture
Practicum
Laboratory work
Self-study of literature
Skills
Lecture
Laboratory work
One-to-One tutorial
Task-based study method
Competences
Lecture
Laboratory work
Skills demonstration
Interactive lecture
Students' portfolio
assessment methods
Knowledge
Test
Skills demonstration during practicum
Individual presentation at a seminar
Skills
Skills demonstration during practicum
Individual presentation at a seminar
Combined exam
Competences
Individual presentation at a seminar
Seminar work
Combined exam
Recommended literature
  • Ogata Katsuhiko. Discrete control systems. London. ISBN 0-13-216227-X.
  • Tůma, František. Automatické řízení 1 : lineární spojité dynamické systémy. Plzeň : Západočeská univerzita, 2007. ISBN 978-80-7043-568-7.
  • Tůma, František. Automatické řízení 2 : diskrétní systémy, logické systémy, nelineární systémy, fuzzy systémy. Plzeň : Západočeská univerzita, 2007. ISBN 978-80-7043-569-4.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester