Course detail
Theory of Measurement and Control
FAST-CW01Acad. year: 2014/2015
Summary of both theoretical and practical knowledge of acquiring process information. Knowledge necessary for preparation, projection, practice and for professional communication in this branch. An integral part is also appropriate mathematical apparatus necessary for orientation in this branch. Getting acquainted with principles of the measurement theory, with measuring chains, possibility of computer utilization for acquiring and subsequent processing of information as well as experimental measurements in technology processes, with industrial interference and elimination of its negative impacts.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
2. - 3. Control theory. Linear, non-linear and extremal systems. Systems with fuzzy logic and common sense logics. Mathematical solutions. Modelling and simulations.
4. Information theory. Data for the information and measurement . Accuracy and correctness of the acquired information. Division of sensors.
5. Measurement etalons. Calibration. Mistakes. Static, dynamic and transfer characteristics. Sensors reliability and intelligence. Reliability and intelligence of sensors.
6. Resistance, capacity and piezoelectric sensors. Sensors with Hall effect.
7. Inductance, induction and magnetic sensors.
8. Camera sensors. Optoelectronics sensors. Semiconductor and microelectronic sensors.
9. Tensiometric sensors and tensiometric measurements. Photoelasticimetry. Vibrations and acceleration measurement. Measurement of vibrations and acceleration.
10. Measuring of flow rate, speed, distance, volume, level and electrical quantities. Materials analysis. Conversion of non-electric values to electrical.
11. - 13. Measuring chains. Use of computer technology. Technology of computer applications. Connection systems and their protocols. SW tools for measurement. Elements for controls for the technological process. Industrial interference and its consequences, limitation of its influence.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Čtvrtník, V.: Elektronické měřicí systémy I. a II, skripta. VŠSE Plzeň, 1991. (CS)
Ďaďo, S., Kreidl, M.: Senzory a měřicí obvody, Monografie. ČVUT Praha, 1996. (CS)
Haasz, Vl. , Sedláček, M.: Elektrická měření, skripta. ČVUT Praha, 1997. (CS)
Haasz, Vl. a další: Číslicové měřicí systémy,. ČVUT Praha, 2000. (CS)
Matyáš, V., Zehnula, K., Pala, J: Měřicí technika. SNTL Praha, 1983. (CS)
Tůmová, O., Čtvrtník, V., Girg, J.:: Elektrická měření - měřicí metody, skripta. ZČU Plzeň, 2000. (CS)
Zehnula K.:: Čidla robotů. SNTL Praha, 1999. (CS)
Recommended reading
Doebelin, E.O.: Measurement systems, Application and Design. Mc Graw Hill New York,, 1990. (EN)
Haasz V., Sedláček M.:: Elektrická měření. Přístroje a metody, Monografie,. ČVUT Praha, 1998. (CS)
Haasz, Vl., Roztočil, J.: Měřicí systémy na bázi IBM-PC, skripta. ČVUT Praha, 1997. (CS)
Halsall, F.: Data Communications, Computer Networks and Open Systems. Addison Wesley,, 1994. (EN)
Klementev, I., Kyška, R.: Elektrické meranie mechanických veličin,. Alfa Bratislava,, 1991. (CS)
Kreidl, M., Ďaďo S.: Měřicí převodníky neelektrických veličin. ZČU Praha, 1987. (CS)
Svoboda J., Vaculíková P., Vondrák M., Zeman T.: Základy elektromagnetické kompatibility, skripta. ČVUT, Praha, 1993. (CS)
Vaculíková P. a kol.: Elektromagnetická kompatibilita elektrotechnických systémů. Grada Praha, 1999. (CS)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. - 3. Control theory. Linear, non-linear and extremal systems. Systems with fuzzy logic and common sense logics. Mathematical solutions. Modelling and simulations.
4. Information theory. Data for the information and measurement . Accuracy and correctness of the acquired information. Division of sensors.
5. Measurement etalons. Calibration. Mistakes. Static, dynamic and transfer characteristics. Sensors reliability and intelligence. Reliability and intelligence of sensors.
6. Resistance, capacity and piezoelectric sensors. Sensors with Hall effect.
7. Inductance, induction and magnetic sensors.
8. Camera sensors. Optoelectronics sensors. Semiconductor and microelectronic sensors.
9. Tensiometric sensors and tensiometric measurements. Photoelasticimetry. Vibrations and acceleration measurement. Measurement of vibrations and acceleration.
10. Measuring of flow rate, speed, distance, volume, level and electrical quantities. Materials analysis. Conversion of non-electric values to electrical.
11. - 13. Measuring chains. Use of computer technology. Technology of computer applications. Connection systems and their protocols. SW tools for measurement. Elements for controls for the technological process. Industrial interference and its consequences, limitation of its influence.
Exercise
Teacher / Lecturer
Syllabus
2. Sensors partitioning. Analysis of errors. Measuring etalons. Calibration.
3. Reliability and intelligence of the sensors. Specialties sensor design.
4. Measuring chains, Use of computer technology. Connection systems and their protocols. SW tools for measuring.
5. Industrial interference, causes and consequences, limitations its harmful influence.
6. Examples of the theory of automatical control Modeling and simulation.
7. Control elements for the technological lines control.