Course detail

Theory of Measurement and Control

FAST-NWB030Acad. year: 2021/2022

Theoretical and practical knowledge necessary for acquiring information from manufacturing processes through the measurement of physical quantities. Knowledge needed for professional communication concerning measurement. Basics of measurement theory and information transfer. Origin, causes and calculation of errors. Physical principles of sensors. Practical uses of sensors for the measurement of physical quantities. The options available for the use of computers in the acquisition and subsequent processing of information; installed software. Principles governing the occurrence of industrial electrical noise/interference, and its removal. Safety at work when using electrical devices. Fundamentals of control and regulation technology.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Martin Mohapl, Ph.D.

Department

Institute of Technology, Mechanisation and Construction Management (TST)

Learning outcomes of the course unit

By mastering the objectives of the Theory of Measurement and Regulation course the students acquire fundamental knowledge of the theory and practice of measurement and instrumentation. They will become acquainted with rules governing configuration of measurement chains and physical principles of sensors; further on with fundamentals of regulation and control of technology processes and lines. The output is also knowledge of principles and causes of industrial interference.

Prerequisites

Fundamental information about the measurement of physical quantities relevant to university-level physics.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. Basic Measurement Theory and the principles of the measurement of physical quantities. Terminology. Information Theory. Information and measurement data. Ethalons.
2. Basic properties of sensors. Overview of physical principles and their basic practical use. Resistive, capacitive and strain gauge sensors.
3. Piezoelectric sensors, sensors with Hall Effect, optical, semiconductor and microelectronic sensors.
4. Inductance, inductive and magnetic sensors.
5. Sensors with CCD elements, thermo-emissivity and non-contact sensors.
6. Chemical, laser, ultrasonic, tactile and nanosensors.
7. Theory and practice regarding error occurrence – calculation of values. Indefiniteness and uncertainty in measurement.
8. Assessment of uncertainty in measurements. Precision, reliability, repeatability and accuracy of measurements. Calibration.
9. Measurement of temperature, pressure, velocity, acceleration, vibration.
10. Measurement with tactile sensors. Measurement of flow, speed, distance, volume, level and electrical quantities.
11. Transformation of non-electrical quantities into electrical ones. Converters. Reliability and intelligence of sensors. Measuring chains and their elements. Analytical measurement systems.
12. Utilisation of computer technology. Interface systems and their protocols. Programmes for the performance of measurements.
13. The basics of automation and control technology. Control theory. Linear, nonlinear, extremal systems. Systems with fuzzy logic and common-sense reasoning. Control elements from production lines.

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

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme NPC-SIM Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Martin Mohapl, Ph.D.

Syllabus

1. Basic Measurement Theory and the principles of the measurement of physical quantities. Terminology. Information Theory. Information and measurement data. Ethalons. 2. Basic properties of sensors. Overview of physical principles and their basic practical use. Resistive, capacitive and strain gauge sensors. 3. Piezoelectric sensors, sensors with Hall Effect, optical, semiconductor and microelectronic sensors. 4. Inductance, inductive and magnetic sensors. 5. Sensors with CCD elements, thermo-emissivity and non-contact sensors. 6. Chemical, laser, ultrasonic, tactile and nanosensors. 7. Theory and practice regarding error occurrence – calculation of values. Indefiniteness and uncertainty in measurement. 8. Assessment of uncertainty in measurements. Precision, reliability, repeatability and accuracy of measurements. Calibration. 9. Measurement of temperature, pressure, velocity, acceleration, vibration. 10. Measurement with tactile sensors. Measurement of flow, speed, distance, volume, level and electrical quantities. 11. Transformation of non-electrical quantities into electrical ones. Converters. Reliability and intelligence of sensors. Measuring chains and their elements. Analytical measurement systems. 12. Utilisation of computer technology. Interface systems and their protocols. Programmes for the performance of measurements. 13. The basics of automation and control technology. Control theory. Linear, nonlinear, extremal systems. Systems with fuzzy logic and common-sense reasoning. Control elements from production lines.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Martin Mohapl, Ph.D.

Syllabus

1. Safety at work when using electrical equipment – electrical injuries. Terminology. Drawing of diagrams and symbols. 2. Industrial electrical noise/ interference, causes, consequences, limitation of harmful effects. 3. Analogue and digital signals – digitalization, converters. 4. Classification of sensors. Calibration. Sensor design specialities. Reliability and intelligence of sensors. 5.–6. Error analysis and calculations. 7. Analysis of uncertainties in measurement and the basics of their calculation. 8. Measuring chains. Connection systems and protocols. 9.–10. Use of computer technology. Selected measurement software examples. 11. Practical examples of the use of computer technology in the processing and evaluation of measurement results. 12. Control elements for production lines. 13. Modelling and simulation of control systems and production line control.