Title :
Hybrid Control Techniques for the Design of Industrial Controllers
Author :
Engell, Sebastian ; Stursberg, Olaf
Author_Institution :
Process Control Laboratory (BCI-AST), University of Dortmund, 44221 Dortmund, Germany. Email: s.engell@bci.uni-dortmund.de
Abstract :
This tutorial paper provides an overview of where techniques based on hybrid dynamic models are suitable or promising for designing controllers of industrial plants, in particular chemical processing systems. After summarizing the typical control tasks prevalent in the hierarchical automation structure of industrial plants, the paper focusses on two techniques employing hybrid models that recently have gained much attention by the research community: the algorithmic verification of safety-related discrete controls, and the optimal control of large transitions, like startup, shutdown, or product switch-over.
Keywords :
Automation; Hybrid Dynamics; Optimal Control; Safety; Supervisory Control; Verification; Automatic control; Chemical processes; Control systems; Industrial control; Industrial plants; Optimal control; Process control; Protection; Safety; Sequences; Automation; Hybrid Dynamics; Optimal Control; Safety; Supervisory Control; Verification;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583056