Course Details
Theory of Measurement and Control
Academic Year 2023/24
NWB030 course is part of 1 study plan
NPC-SIM Summer Semester 1st year
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.
Course Guarantor
Institute
Objective
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.
Knowledge
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.
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.
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.
Prerequisites
Fundamental information about the measurement of physical quantities relevant to university-level physics.
Language of instruction
Czech
Credits
4 credits
Semester
summer
Forms and criteria of assessment
course-unit credit and examination
Specification of controlled instruction, the form of instruction, and the form of compensation of the absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
Offered to foreign students
Not to offer
Course on BUT site
Lecture
13 weeks, 2 hours/week, elective
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
13 weeks, 2 hours/week, compulsory
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.