Course detail
Theory of Measurement and Control
FAST-CW056Acad. year: 2017/2018
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
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. 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
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans