rok 2006 - Fakulta chemickej a potravinárskej technológie ...

Ondrovičová
6. semester (Bc) Automatic Control Fundamentals 2/0/0 Bakošová, Fikar
Laboratory Exercises of Automatic Control
Fundamentals
0/0/2
Bakošová, Fikar,
Karšaiová ,
Vasičkaninová, Puna,
Závacká
Bachelor projects 0/0/4
Bakošová, Čirka, Fikar,
Hirmajer, Puna
1. semester (MSc) Process Control 1/0/2 Bakošová, Karšaiová
Process Dynamics 2/0/0 Bakošová
Operating Systems 1/0/1 Fikar
Control Devices and Systems 2/0/1 Danko
Computer Programs 1/0/2 Čirka
Laboratory Project I 0/0/8
Bakošová, Čižniar,
Karšaiová, Čirka
2. semester (MSc) Optimisation 2/0/1 Dvoran
Control Theory I 2/0/2 Čirka, Mikleš
Laboratory Exercises of Control Theory I 0/0/2 Mikleš
Experimental Identification 2/0/0 Fikar
Laboratory Project II 0/0/6
Čirka, Danko, Dvoran,
Mikleš, Ondrovičová
Modelling and Control of Polymerisation Processes 2/0/2 Dvoran
Process Dynamics 2/0/0 Bakošová
Laboratory Exercises of Process Dynamics 0/0/1 Bakošová
Measurement of Process Variables 1/2/0 Čirka
3. semester (MSc) Control Theory II 2/0/0 Mikleš
Laboratory Exercises of Control Theory II 0/0/2 Mikleš
Intelligent Control Systems 2/0/0 Dvoran
Semestral Project 0/0/8
Čirka, Dvoran, Karšaiová,
Vaneková
CAD systems 2/0/0 Karšaiová
Industrial Applications of Process Control 2/0/0 Vaneková
Control of Technological Processes 1/0/2 Bakošová
Robust Control 2/0/0 Fikar
4. semester (MSc) Diploma Theses 0/0/27
Čirka, Fikar, Mikleš,
Ondrovičová
IV. CURRENT RESEARCH PROJECTS
VEGA Project No 1/1046/04 Progressive methods of adaptive and intelligent control applied to
processes of chemical/biochemical technologies (Alojz Mészáros)
The scientific project is focused on development of new strategies of adaptive, robust and intelligent control with
respect to potential applications to the processes of chemical/biochemical technologies. The main goal is to make
further progress in the field of adaptive lambda-tracking and artificial neural network (ANN) based identification
and control. For effective ANN training a new approach is proposed: the hybrid modelling method. New adaptive
and robust control structures are designed and tested by both, computer simulations and laboratory control
experiments. An original, inverse plant model based robust neural controller is introduced through bias neuron
weights adaptation as well as neuro-fuzzy system utilization. An integrating factor of project objectives is
application of results to non-linear chemical processes through simulation experiments as well as laboratory scale
implementation. As reference processes chemical reactor, biochemical reactor, fixed-bed tube reactor and
distillation column are chosen. Results achieved will be offered for industrial application in collaboration with
external partners.
Project duration: from 01.01.2004 to 31.12.2006
VEGA Project No 1/3081/06 Optimisation and control of chemical and biochemical processes
(Miroslav Fikar)
The project deals with development of modern control and optimisation methods and focuses into processes
typical in chemical and food industries: chemical reactors, distillation columns, waste-water treatment plants, and
others. Involves static and dynamic, and global optimisation methods, predictive control as well as supervisory
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