Title :
Improvements in process control through model-based techniques: a control system vendor´s perspective
Author :
Bonavita, Nunzio ; Tomasi, Raffaele
Author_Institution :
Elsag Bailey Hartmann & Braun SpA, Genova, Italy
Abstract :
The paper aims at showing how the introduction of model-based control strategies impacts on both the skills (and training) required to plant operators, and in the way control project development has to be managed. As more and more emphasis has to be given to the methodologies used, successful applications (with the related important economic benefits) may result only by the creation of an actual partnership between the process owner and the control system supplier. Aware of this necessity, Elsag Bailey has coupled the introduction of new control technologies with the creation of a sound experience-based methodology, and able to provide the market with the most performing tools in the most suited environment
Keywords :
control systems; distributed control; multivariable control systems; neural nets; predictive control; process control; real-time systems; training; Elsag Bailey; control system vendor; distributed control systems; economic benefits; model-based control; multivariable predictive control; neural nets; process control; project development; real time systems; training; Application software; Control system synthesis; Control systems; Distributed control; Industrial control; Management training; Neural networks; Predictive control; Predictive models; Process control;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.728428