Progresívne metódy adaptívneho a inteligentného riadenia pre procesy chemickej/biochemickej technológie.Supervisor: prof. Ing. Alajos Mészáros, PhD.
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|Project description:||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 technology. The main goal is to make further progress in the field of adaptive -tracking and artificial neural network (ANN) based identification and control. For effective ANN training a new approach is proposed: the hybrid modeling 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 the result application 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|
|Kind of project:||VEGA ()|
|Department:||Department of Information Engineering and Process Control (IIEAM FCFT)|
|Project status:||Successfully completed|
|Project start date :||01. 01. 2004|
|Project close date:||31. 12. 2006|
|Number of workers in the project:||1|
|Number of official workers in the project:||0|