Course detail

Theory of Measurement and Control

FAST-CW01Acad. year: 2013/2014

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

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Department

Institute of Technology, Mechanisation and Construction Management (TST)

Learning outcomes of the course unit

Completing the course CW01 Theory of Measuring and Regulation the students will acquire basic knowledge of theory and practice of measuring and measuring equipment. They will get familiar with the principles for designing and arranging the structure of measuring chains. They will get acquainted with the physical principles of electrical and non-electrical sensors of physical quantities. They will be able to understand the common mistakes in measuring and the causes of this errors. They will also acquire knowledge about the principles and causes of industrial interference (disturbance). Students will acquire basic information about the elementary automatic regulation and control of technological processes.

Prerequisites

Fundamental information about measurement and automatic control on level at the high school physics and university physics.

Co-requisites

Part of the knowledge of this course can be supplemented with knowledge of course CW51 Automated control systems.

Planned learning activities and teaching methods

The course is taught through lectures, practical classes and self-study assignments. Attendance at lectures is optional, but attendance at classes is compulsory.

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. Fundamentals of the measurement theory and principles of measurement of physical values. Terms.
2. - 3. Control theory and practical application. Linear, non-linear and extreme systems. Systems with fuzzy and horse logics. Mathematical solutions. Modelling and simulations.
4. Information theory. Information and measuring signals. Accuracy and correctness of acquired information. Division of sensors.
5. Measurement standards. Static, dynamic and transfer characteristics. Reliability and intelligence of sensors.
6. Resistance, capacity and piezoelectric sensors. Sensors with Hall effect.
7. Inductance, induction and magnetic sensors.
8. Cameras sensos. Optoelectronics sensors. Semi-conductor and micro-electronic sensors.
9. Tensometric sensors and tensometric measurements. Fotoelasticimetry. Measurement – of vibrations and acceleration.
10. Mesuring of flow, velocity, distance, volume, electrical values. Materials analysis. Transfer of non-electric values in electrical.
11. - 13. Measuring chains. Technology of computer applications. SW tools for measurement. Data collection and evaluation. Networks and buses in measurement. Industrial interference and protection against it.

Work placements

Not applicable.

Aims

Making the students acquainted with fundamentals of measurement, control and systems theory. Measurement chains as system complexes and their elements. Using of computer utilization for acquisition and processing of obtained information. Control and monitoring of the production line. Industrial interference and elimination of these negative impacts.

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

Matyáš, V., Zehnula, K., Pala, J: Měřicí technika. SNTL Praha, 1983. (CS)
Čtvrtník, V.: Elektronické měřicí systémy I. a II, skripta. VŠSE Plzeň, 1991. (CS)
Beran, Vl.: Měření neelektrických veličin,. ZČU Plzeň, 1993. (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)
Zehnula K.:: Čidla robotů. SNTL Praha, 1999. (CS)
Haasz, Vl. a další: Číslicové měřicí systémy,. ČVUT Praha, 2000. (CS)
Tůmová, O., Čtvrtník, V., Girg, J.:: Elektrická měření - měřicí metody, skripta. ZČU Plzeň, 2000. (CS)

Recommended reading

Kreidl, M., Ďaďo S.: Měřicí převodníky neelektrických veličin. ZČU Praha, 1987. (CS)
Doebelin, E.O.: Measurement systems, Application and Design. Mc Graw Hill New York,, 1990. (EN)
Klementev, I., Kyška, R.: Elektrické meranie mechanických veličin,. Alfa Bratislava,, 1991. (CS)
Svoboda J., Vaculíková P., Vondrák M., Zeman T.: Základy elektromagnetické kompatibility, skripta. ČVUT, Praha, 1993. (CS)
Halsall, F.: Data Communications, Computer Networks and Open Systems. Addison Wesley,, 1994. (EN)
Beran, V., Tůmová, O.: Měření veličin životního a pracovního prostředí. ZČU Plzeň,, 1996. (CS)
Haasz, Vl., Roztočil, J.: Měřicí systémy na bázi IBM-PC, skripta. ČVUT Praha, 1997. (CS)
Haasz V., Sedláček M.:: Elektrická měření. Přístroje a metody, Monografie,. ČVUT Praha, 1998. (CS)
Vaculíková P. a kol.: Elektromagnetická kompatibilita elektrotechnických systémů. Grada Praha, 1999. (CS)

Classification of course in study plans

  • Programme N-K-C-SI Master's

    branch M , 1. year of study, winter semester, compulsory

  • Programme N-P-E-SI Master's

    branch M , 1. year of study, winter semester, compulsory

  • Programme N-P-C-SI Master's

    branch M , 1. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

1. Basic theory of the measurement and principles of measurement of physical values. Terminology.
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

13 hours, compulsory

Teacher / Lecturer

Syllabus

1. Terminology. Drawing schemes and individual symbols. Safety for work with electronic equipment.
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.