Mode of delivery, planned learning activities and teaching methods:
laboratory practice – 3 hours weekly (on-site method)
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
Prerequisites for registration:
Final presentation of the project results in front of a committee (20%), written report (80%)
Learning outcomes of the course unit:
Project represents individual student work to solve control of laboratory processes in chemical and biochemical technologies. Student has to combine knowledge from various subjects in engineering study. He studies a selected laboratory process, designs and simulates its behaviour and verifies at the actual plant. In conclusions, forms results and presents them.
Literature review about selected process
Measurement of experimental results on laboratory process
Parameter estimation and improvement of the model
Process simulations, design of observer and control
Verification of control on laboratory process
Presentation of results
Recommended or required reading:
MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 p. ISBN 978-3-540-71969-4.
BAKOŠOVÁ, M. –FIKAR, M. Riadenie procesov. STU v Bratislave, 2008. 1 s. ISBN 978-80-227-2841-6.
Language of instruction:
Assessed students in total:
A 56.3 %
B 25 %
C 12.5 %
D 6.2 %
E 0 %
FX 0 %
Name of lecturer(s):
M. Kalúz (2017/2018 – Winter) M. Kalúz (2016/2017 – Winter) J. Števek (2015/2016 – Winter)
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.