Application of Model-based Predictive Control System

OData support
Supervisor:
Dr. Csubák Tibor
Department of Control Engineering and Information Technology

The aim of the thesis is to get the author acquainted with the measuring and regulating equipment of a real technological process for controlling, and get her to understand the steps of the advanced optimisation system installation.

The author is involved in the reconfiguration and reinstallation of the Advanced Process Control (APC) of the Fluid Catalytic Cracking Unit in the Danube Refinery of MOL. The APC is based on a Model Predictive Control (MPC) strategy. Hereby the author is to get acquainted with the theoretical background of the predictive control, the design steps of the controllers, the method of creating and evaluating the step-tests and, last but not least, with the critical points of the deployment. In real situation she learns how to choose the basic parameters of the controller, such as manipulated and controlled variables, set point, sampling time and so on. She learns what kind of aspects have to be considered during the configuration and after the deployment how the controller has to be adjusted to get the correct operation. She participates in the post-processing works too.

In addition to expanding her professional knowledge, the author also gets to know an oil-refining technology .

Keywords: Advanced Process Control (APC), Model Predictive Control (MPC), Fluid Catalytic Cracking (FCC), controlling

Downloads

Please sign in to download the files of this thesis.