Course detail
Automated control systems
FAST-CW51Acad. year: 2012/2013
Theory of the control systems. Mathematic relations - description of dynamic behaviour by means of differential equations, Laplace and Fourier transformation. Mathematical modeling, simulation models. The type elements. System stability. Control devices - types, principles, function, design. Linear and non-linear systems. Optimal control. Adaptive control. Expert systems (fuzzy logic and linguistic models). Vague systems and common sense logic. Logic automatic machines.
Automatic systems of technological process control. Cement industry. Production of concrete and porous concrete. Ceramics – brick-making. Production lines for structural units and building panels. Robotics and handling devices. Production preparation control systems.
Language of instruction
Czech
Number of ECTS credits
5
Mode of study
Not applicable.
Guarantor
Department
Institute of Technology, Mechanisation and Construction Management (TST)
Learning outcomes of the course unit
In the course CW51 Automated Control Systems – Industrial Informatics, the students will learn the basics of cybernetics. They will acquire basic knowledge from the theory and practice of the control systems. They will get familiar with the basics of analysis and synthesis of linear systems and get to know examples and simple demonstrations. The students will learn about mathematic modeling of the dynamic systems. They will learn the priciples of non-linear and extremal systems, fuzzy systems and principles of the common sense logic. They will get to know the possibilities of specialized programs in computer technology and simulation software.
Prerequisites
Basic information about the system theory and system control, the fundamental information about measuring, about fundamental physical principles of the basic sensor types, everything at the level of high-school specialized physics and technical academic physics.
Co-requisites
Students can obtain relevant knowledges for example in the course CW01 - Theory of Measurement and Control.
Planned learning activities and teaching methods
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.
Assesment methods and criteria linked to learning outcomes
For successful completion of the course the student is asked to study regularly and to attend the lectures and seminars. The student will prove his knowledge during an oral examination. The credit for seminars is conditioned by regular attendance and also by submitting the individual assignments.
Course curriculum
1. Basic terms, possibilities and application of automated systems of technology process control. Analysis of the control systems.
2. - 4. Theory of the control system - Laplace and Fourier transformation, static and dynamic characteristics of linear circuits. Stability. Logic automats.
5. Essential of the type of the dynamic elements, block´s algebra, classification of controlled systems, central control elements.
6. Fundamentals of control system theory, methods of design of central control element, design of control algorithms. Non-linear systems, state space.
7. Optimal and adaptive systems, expert systems, vague systems and common sense logic.
8. Methods and tools of automated technology process control systems (ATPCS).
9. ATPCS in cement industry – pre-homogenisation dumps, grinding plants for milling.
10. ATPCS in cement industry – automated control of the cement kiln.
11. ATPCS in brick-making industry – control system based on logic of raw material treatment process and creation, control of baking.
12. ATPCS of porous concrete production - milling procedure control, control of mixing.
13. ATPCS in production of the devices – control of mixing cores, Production technology and preparation.
2. - 4. Theory of the control system - Laplace and Fourier transformation, static and dynamic characteristics of linear circuits. Stability. Logic automats.
5. Essential of the type of the dynamic elements, block´s algebra, classification of controlled systems, central control elements.
6. Fundamentals of control system theory, methods of design of central control element, design of control algorithms. Non-linear systems, state space.
7. Optimal and adaptive systems, expert systems, vague systems and common sense logic.
8. Methods and tools of automated technology process control systems (ATPCS).
9. ATPCS in cement industry – pre-homogenisation dumps, grinding plants for milling.
10. ATPCS in cement industry – automated control of the cement kiln.
11. ATPCS in brick-making industry – control system based on logic of raw material treatment process and creation, control of baking.
12. ATPCS of porous concrete production - milling procedure control, control of mixing.
13. ATPCS in production of the devices – control of mixing cores, Production technology and preparation.
Work placements
Not applicable.
Aims
Making the students acquainted with fundamentals of the cybernetic in the area of the theory of system control, incl. basic of the analysis and synthesis of linear systems with documenting by simple demonstrations. Mathematical modelling of dynamic systems and computer technology application. Fundamentals of other controll systems.
Specification of controlled education, way of implementation and compensation for absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
Gvozdjak, L., Vitko, A: Základy kybernetiky. Alfa, Bratislava, 1990. (CS)
Novák, V.: Fuzzy množiny a jejich aplikace. SNTL, Praha, 1986. (CS)
Rosa, J.: ASŘTP průmyslové výroby stavebních hmot a dílců. SNTL, Praha, 1984. (CS)
Rosa, J.: ASŘTP ve stavebnictví. MŠ ČSR, Praha, 1987. (CS)
Tůmová, O., Čtvrtník, V., Girg, J: Elektrická měření - měřicí metody, skripta. ZČU Plzeň, 2000. (CS)
Novák, V.: Fuzzy množiny a jejich aplikace. SNTL, Praha, 1986. (CS)
Rosa, J.: ASŘTP průmyslové výroby stavebních hmot a dílců. SNTL, Praha, 1984. (CS)
Rosa, J.: ASŘTP ve stavebnictví. MŠ ČSR, Praha, 1987. (CS)
Tůmová, O., Čtvrtník, V., Girg, J: Elektrická měření - měřicí metody, skripta. ZČU Plzeň, 2000. (CS)
Recommended reading
Davis, E.: Representations of Common-sense Knowledge. Morgan Kaufman, San Mateo, 1990. (EN)
Zadeh, L. A.: Fuzzy Sets and their Application. Academic Press, New York, 1977. (EN)
Zadeh, L. A.: Fuzzy Sets as a Basic for a theory of Possibility. Fuzzy Sets and Systems. Academic Press, New York, 1978. (EN)
Zadeh, L. A.: Fuzzy Sets and their Application. Academic Press, New York, 1977. (EN)
Zadeh, L. A.: Fuzzy Sets as a Basic for a theory of Possibility. Fuzzy Sets and Systems. Academic Press, New York, 1978. (EN)
Classification of course in study plans
Type of course unit
Lecture
26 hod., optionally
Teacher / Lecturer
Syllabus
1. Terminology, possibilities and application of automated systems of technological process control. Analysis of the control systems.
2. - 4. Theory of the control system. Laplace and Fourier transformation, static and dynamic characteristics of linear circuits. Stability. Logic automatic machines.
5. Basic types of the dynamic elements, block algebra, classification of controlled systems, elements of the control.
6. Fundamentals of control system theory, methods of design of control elements, design of control algorithms. Non-linear systems, state space.
7. Optimal and adaptive systems, expert systems, vague systems and common sense logic.
8. Methods and tools of Automated systems for technological process control (ASTPC).
9. ASTPC in cement industry – pre-homogenization dumps, mill rooms.
10. ASTPC in cement industry – automated control of the cement kiln.
11. ASTPC in brick-making industry – control system based on fuzzy logics for the material treatment and control process of the drying and burning.
12. ASTPC of porous concrete production - control process of grinding and mixing.
I fracas
13. ASTPC in production of the devices – concrete plant,control of mixing cores.
2. - 4. Theory of the control system. Laplace and Fourier transformation, static and dynamic characteristics of linear circuits. Stability. Logic automatic machines.
5. Basic types of the dynamic elements, block algebra, classification of controlled systems, elements of the control.
6. Fundamentals of control system theory, methods of design of control elements, design of control algorithms. Non-linear systems, state space.
7. Optimal and adaptive systems, expert systems, vague systems and common sense logic.
8. Methods and tools of Automated systems for technological process control (ASTPC).
9. ASTPC in cement industry – pre-homogenization dumps, mill rooms.
10. ASTPC in cement industry – automated control of the cement kiln.
11. ASTPC in brick-making industry – control system based on fuzzy logics for the material treatment and control process of the drying and burning.
12. ASTPC of porous concrete production - control process of grinding and mixing.
I fracas
13. ASTPC in production of the devices – concrete plant,control of mixing cores.
Exercise
26 hod., compulsory
Teacher / Lecturer
Syllabus
1. Basic terminology. Samples elements of the control systems. Analysis of control systems.
2. - 4. The mathematical description of the dynamic properties. Transfer function. Laplace and Fourier transformation. Stability.
5. Basic types of the dynamic elements, block algebra.
6. Classification of controlled systems, elements of regulators.
7. Design elements of the controller, PID controller.
8. Design of control algorithms.
9. Samples - nonlinear systems, state space, optimal and adaptive systems, expert systems, systems vague and common sense logic.
10. Automatic control in the cement industry I. - examples - control of homogenisation dumps and mill rooms.
11. Automatic control in the cement industry II. - examples - control of cement kiln.
12. Automatic control in the brick industry III. - examples - control system with the fuzzy logic.
13. Automatic control of porous concrete production and construction elements - examples.
2. - 4. The mathematical description of the dynamic properties. Transfer function. Laplace and Fourier transformation. Stability.
5. Basic types of the dynamic elements, block algebra.
6. Classification of controlled systems, elements of regulators.
7. Design elements of the controller, PID controller.
8. Design of control algorithms.
9. Samples - nonlinear systems, state space, optimal and adaptive systems, expert systems, systems vague and common sense logic.
10. Automatic control in the cement industry I. - examples - control of homogenisation dumps and mill rooms.
11. Automatic control in the cement industry II. - examples - control of cement kiln.
12. Automatic control in the brick industry III. - examples - control system with the fuzzy logic.
13. Automatic control of porous concrete production and construction elements - examples.