Number: VEGA 1/0071/09
Period: 1.1.2009 - 31.12.2011
Principal investigator: Prof. Ing. Miroslav Fikar, DrSc.
Scientific co-workers: OIRP, RNDr. M. Jasem, RNDr. Š. Boor
The aim of the project is to design methods and procedures for finding optimal operation points of key technological units in chemical and biochemical process industries. It will make use of on-line and off-line optimisation based on hybrid models. The aims of the project are as follows:
- Analysis and design of hybrid mathematical models for description of processes of the chemical and food industry, enrichment of syntax of modelling language HYSDEL,
- Optimal predictive control of hybrid systems using explicit approach: issues of adaptive control and control of precesses with uncertainties,
- Proposal of methods and techniques for complexity reduction in solutions obtained by parametric programming
- Development and extension of the MPT toolbox, adding support for robust control and state estimation for hybrid systems
optimal control, predictive control, process control, optimisation
The project deals with research and development of modern optimal control and optimisation methods and focuses into processes typical in chemical and food industries: chemical reactors, distillation columns, waste-water treatment plants, and others. It involves hybrid systems, dynamic and global optimisation methods, predictive control as well as supervisory control with particular stress on computational efficiency and realisability in industry. Developed algorithms, controllers, and control structures will be tested by simulations and in laboratory conditions.
Final evaluation of the project: The project was successfully finished in 2011 and achieved excellent results (official evaluation of the grant agency)