M. Bakošová, A. Vasičkaninová (2021/2022 – Winter)
Learning outcomes of the course unit:
The student masters the basic principles of process identification from aperiodic and periodic step responses and is able to measure or simulate a step response and to identify the step response. The student knows the methods of PID controller tuning and can tune the PID controllers using various experimental methods or methods based on the knowledge of the process model in the form of a transfer function. The student is able to compare control responses using various quality criteria. The student knows the principles of process control using complex control structures, namely cascade control, structure with disturbance measurement, structure with auxiliary control input, Smith's predictor, ratio control. He/she knows the basic principles of control of selected types of processes in chemical and food technologies, i.e. basic principles of control of processes in chemical and food technologies using simple feedback control loops and complex control structures. The student is able to design a simple feedback control loop or a complex control structure to solve a specific problem. The student knows basic types of actuators and understands the principles of their actions.
Prerequisites for registration:
Recommended or required reading:
BAKOŠOVÁ, M. – FIKAR, M. Riadenie procesov. 2008. 1 s. ISBN 978-80-227-2841-6.
MIKLEŠ, J. – FIKAR, M. Modelovanie, identifikácia a riadenie procesov 1: Modely a dynamické charakteristiky spojitých procesov. Bratislava : STU v Bratislave, 1999. 192 s. ISBN 80-227-1289-2.
MIKLEŠ, J. – FIKAR, M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer Berlin Heidelberg New York, 2007. 480 s. ISBN 978-3-540-71969-4.
INGHAM, J. Chemical Engineering Dynamics: Modelling with PC Simulation. Weinheim : VCH, 1994. 701 s. ISBN 3-527-28577-6.
RAY, W H. – OGUNNAIKE, B A. Process dynamics, modelimg, and control. New York : Oxford University Press, 1994. 1260 s. ISBN 0-19-509119-1.
Planned learning activities and teaching methods:
lectures, laboratory practice, projects
lectures 26 h
laboratory practice 26 h
presentation and defence of two projects 3h
preparation for lectures and laboratory exercises (study of literature, calculations) - 20 h
reports preparing - 20 h
preparation for the exam - 30 h
Assesment methods and criteria:
The final grade consists of an evaluation of reports from laboratory practice with a weight of 40% and an evaluation of projects with a weight of 60%.
Language of instruction:
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.