Project number:
Hu-Sk-0001-06
Title of the project:
Hu-Sk Cooperation : Modelling, Optimisation, and Control of Heat and Mass Transfer Processes
Project type:
Cooperations
Project duration (start):
01.01.2007
Project duration (end):
31.12.2009
Principal investigator:
Miroslav Fikar
Investigators:
Monika Bakošová, Martin Herceg, Alajos Mészáros

Title: Modelling, Optimisation, and Control of Heat and Mass Transfer Processes

Partners

  • Slovak University of Technology in Bratislava, Faculty of Chemical and Food Technology, Department of Inform. Eng. and Process Control (M. Fikar, M. Bakošová, A. Mészáros, M. Herceg)
  • Budapest University of Technology and Economics, Faculty of Chemical Engineering (P. Mizsey, Z. Szitkai, M. Gábor, M. Horváth)

Date: 2007-2009

Objectives, project description, background, proposed research

With regard to ongoing research projects at the two partner departments, 3 research areas are be selected for future scientific collaboration. They are:

  • Chemical Process Modelling and Control
  • Integrated Process Design
  • Hybrid Separation Process Design

Research workers of the Dept. of Chemical Engineering of BUTE are well experienced in chemical engineering of unit operations, steady state modelling and process design, while the research team of the Department of Information Engineering and Process Control of STU has good knowledge and experience in process dynamic modelling, optimisation, and control system design. This proposed collaboration enables to mutually utilize the know-how of the two teams in order to create more beneficial research outcomes, like adaptive and intelligent chemical process control systems based on methods of artificial intelligence.

The collaboration is planned to be conducted in two phases:

I. Continuation and complation of research activities on the following topics:

  • Study of separation processes for non-ideal mixtures
  • Analysis, simulation and control of hybrid separation processes
  • Modelling and dynamic analysis of a multicolumn distillation process
  • Hybrid process modelling using artificial neural networks (ANN)
  • Development and implementation of dynamic optimisation packages

II. Modification and extention of the above topics as follows:

  • Adaptive process control design using ANN
  • Robust intelligent control design
  • Static and dynamic optimisation of separation processes
  • Testing of the proposed new algorithms for nonlinear chemical processes through simulation experiments
  • Implementation of computer control for laboratory fermenter
  • Publication of the results obtained

Investigators

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