SylabUZ

Generate PDF for this page

Measurement transducers - course description

General information
Course name Measurement transducers
Course ID 06.0-WE-AutP-MeasTran-Er
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study WIEiA - oferta ERASMUS / Automatic Control and Robotics
Education profile -
Level of studies First-cycle Erasmus programme
Beginning semester winter term 2018/2019
Course information
Semester 5
ECTS credits to win 3
Course type obligatory
Teaching language english
Author of syllabus
  • dr hab. inż. Wiesław Miczulski, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 30 2 - - Exam
Laboratory 30 2 - - Credit with grade

Aim of the course

- to familiarize students with the parameters of transducers and methods of description of their static and dynamic properties.

- to familiarize students with the construction, principle of operation and characteristics of functional blocks of measuring signal processing circuit and measuring transducers of basic non-electric quantities.

- to shape the skills of planning and carrying out experiments in the field of experimental determination of the characteristics of measuring signal processing circuit elements.

Prerequisites

Fundamentals of Electrical Engineering, Fundamentals of Electronics, Metrology

Scope

General characteristics of transducers and measuring signals. Basic definitions of classification of signals and transducers. Structures of measuring transducers.

Static and dynamic properties of measuring transducers. Definitions of basic static parameters. Methods for describing the dynamic characteristics of time and frequency converter transducers. Models of perfect dynamic transformation. Models and dynamic properties of real transducers. Analogue measurement converters of selected electrical quantities. Power, Voltage and AC Converters. Transducer structures.

Analog function blocks: input stages, absolute value converters, logarithmic and delogarithmic circuits, multipliers, RMS circuits.

Analog-to-digital and digital-to-analog processing. General characteristics of A / D and D / A processing: sampling, quantization, coding. Classification and basic functions and development tendencies of A / D and D / A converters. Construction and characteristics of selected types of D / A converters. Converters: with resistor network, with switching capacity, sigma - delta; the multiply D / A converter. Static and dynamic parameters of D / A converters. Construction and properties of selected A / D converters. Converters: integral, frequency-conversion, SAR, sigma-delta. Static and dynamic parameters of AC converters.

Signal conditioning circuits of sensors outputs. Parametric characteristics (resistive and reactance) and generative measurement sensors. Signal conditioning systems working with parametric and generation sensors. Intelligent measuring sensors.

 

Teaching methods

Lecture: conventional lecture, problem lecture, discussion

Laboratory: working with source document, group work, laboratory exercises

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Lecture – the credit is given for obtaining positive grades in written tests carried out at leastonce a semester.

Laboratory – to receive a final passing grade stude nt has to receive positive grades in all laboratory exercises provided for in the laboratory syllabus.

Calculation of the final grade: lecture 50% + laboratory 50%

Recommended reading

1.      Tumanski S.: Principles of electrical measurement. Taylor & Francis, 2006

2.      Bhargawa S.C: Electrical measuring instruments and measurements. CRC Press, 2012

3.      Vetelino J., Reghu A.: Introduction to sensors. CRC Press, 2010

4.      Pallas-Areny R., Webster J.G.: Sensors and signal conditioning. John Willey& Sons, Inc., 2001

5.      Fraden J.: Handbook of modern sensors. Springer, 2010

Further reading

1. Horowitz P., Hill W.: The art of electronics. Cambridge University Press, 2010

2. Miczulski W., Krajewski M., Sienkowski S., A New Autocalibration Procedure in Intelligent Temperature Transducer, IEEE Transactions on Instrumentation and Measurement .-
    2019, Vol. 68, iss. 3, s. 895--902.

Notes


Modified by dr hab. inż. Wojciech Paszke, prof. UZ (last modification: 01-05-2020 10:51)