Course: Real Process Control

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Course title Real Process Control
Course code AUART/AE9RR
Organizational form of instruction Lesson + Seminary
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Chalupa Petr, Ing. Ph.D.
Course content
Seminars: 1. Overview of basic sensors of physical quantities with a focus on the Laboratory of Real Processes. 2. Overview of basic actuators for the control of physical quantities with a focus on the Laboratory of Real Processes. 3. Equipment of control computers for real-time process control applications with a focus on the Real Process Laboratory. Laboratory exercise: 1. Acquainting students with models in the Laboratory of Real Processes. 2. Assignment of tasks to individual students (6 tasks). 3. Work on assigned tasks: getting acquainted with the system, measuring characteristics, design and verification of control, evaluation of results. 4. Evaluation of protocols and verification of results.

Learning activities and teaching methods
Observation, Simple experiments, Practice exercises
  • Participation in classes - 56 hours per semester
prerequisite
Knowledge
Knowledge of automatic control theory, basic knowledge of MATLAB/Simulink system
Knowledge of automatic control theory, basic knowledge of MATLAB/Simulink system
learning outcomes
describe differences between real plant and its computer model
describe differences between real plant and its computer model
explain differences between linear and non-linear model of a system
explain differences between linear and non-linear model of a system
describe properties of basic types of linear models
describe properties of basic types of linear models
explain pros and cons of given control algorithm from a point of view of its usage for real-time control
explain pros and cons of given control algorithm from a point of view of its usage for real-time control
describe criteria used to evaluate quality of a control process
describe criteria used to evaluate quality of a control process
Skills
design a Simulink scheme that uses data acquisition and control interfaces
design a Simulink scheme that uses data acquisition and control interfaces
select appropriate model type for a given real plant
select appropriate model type for a given real plant
calculate parameters of a linear model of a plant on the basis of measured data
calculate parameters of a linear model of a plant on the basis of measured data
design control scheme for given real plant
design control scheme for given real plant
tune parameters of a controller to obtain optimal control courses
tune parameters of a controller to obtain optimal control courses
critically evaluate measured data
critically evaluate measured data
teaching methods
Knowledge
Practice exercises
Practice exercises
Simple experiments
Simple experiments
Observation
Observation
assessment methods
Analysis of the student's performance
Analysis of the student's performance
Recommended literature
  • ASTRÖM, K a B WITTENMARK. Computer-controlled systems: theory and design. Mineola, N.Y.: Dover Publications, 2011. ISBN 978-0-486-48613-0.
  • Bobál, V. Adaptivní a prediktivní řízení. Univerzita Tomáše Bati ve Zlíně, Academia centrum, 2008. ISBN 978-80-7318-888-7.
  • Bobál, V. et al. Digital self-tuning controllers: algorithms, implementation and applications. Springer-Verlag, London, 2005. ISBN 978-1-85233-980-7.
  • Bobál, Vladimír. Identifikace systémů. Vyd. 1. Zlín : Univerzita Tomáše Bati ve Zlíně, 2009. ISBN 978-80-7318-888-7.
  • BOLTON, W. Programmable Logic Controllers - fourth edition, Elsevier India Private Limited, Oxford, UK, 2006, ISBN 13: 978-0-7506-8112-4, ISBN 10: 0-7506-8112-8.
  • Hanuš, Bořivoj. Číslicová regulace technologických procesů : algoritmy, matematicko-fyzikální analýza, identifikace, adaptace. 1. vyd. Brno : Vutium, 2000. ISBN 802141460X.
  • NAVRÁTIL, P. Automatizace, vybrané statě. FAI,UTB ve Zlíně, 2011.
  • O´DWYER, A. Handbook of PI and PID Contoller Tuning Rules. 2 ed., Imperial College Press, london, 2006. ISBN 1-86094-622-4.
  • Perůtka, Karel. MATLAB : základy pro studenty automatizace a informačních technologií. Vyd. 1. Zlín : Ústav řízení procesů, Institut řízení procesů a aplikované informatiky, Rakulta technologická, 2005. ISBN 8073183552.
  • Prokop, Roman. Teorie automatického řízení II pro bakalářské studium. 1. vyd. Zlín : FT VUT, 2000. ISBN 8021417412.


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