Course detail

Theory of Measurement and Control

FAST-CW056Acad. year: 2018/2019

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.

Department

Institute of Technology, Mechanisation and Construction Management (TST)

Learning outcomes of the course unit

Through mastering the subject Measurement and Control Theory, students will gain basic theoretical and practical knowledge regarding the measurement of physical quantities and appropriate measurement techniques. They will gain the knowledge needed to prepare, design and perform practical tasks in the area of measurement and also professional communication. Students will become familiar with the physical principles of sensors for the measurement of non-electrical and electrical physical quantities. They will become acquainted with the theory of errors and the reasons for the occurrence of errors in measurements. They will learn the principles for the design of measuring devices and measuring chains. They will also gain knowledge about the principles and causes of industrial electrical interference. Students will obtain basic information in the area of the control theory and control of technical processes. The output of this subject takes the form of active participation in the solution of practical problems during practical lessons, and the demonstration of knowledge in an exam.

Prerequisites

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

Co-requisites

Mathematics for the calculation of errors and uncertainties in measurements, statistics. Technology of building materials and components.

Recommended optional programme components

Not applicable.

Recommended or required reading

Not applicable.

Planned learning activities and teaching methods

The course takes the form of lectures, practical lessons and self-study. Apart from books, electronic support materials are also available as well as individual presentations. Participation in lectures is recommended, practical lessons are compulsory.

Assesment methods and criteria linked to learning outcomes

Continuous study and participation in lectures and practical classes is required for successful completion of the course. Students will demonstrate their knowledge by answering questions in an exam. The credit for the completion of practical classes is subject to regular and active attendance and the correct solution of tasks.

Language of instruction

Czech

Work placements

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.

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.

Classification of course in study plans

  • Programme N-P-E-SI (N) Master's

    branch M , 1. year of study, summer semester, 5 credits, compulsory-optional

  • Programme N-K-C-SI (N) Master's

    branch M , 1. year of study, summer semester, 5 credits, compulsory-optional

  • Programme N-P-C-SI (N) Master's

    branch M , 1. year of study, summer semester, 5 credits, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

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.

seminars

26 hours, compulsory

Teacher / Lecturer

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.

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