Title :
Supervision and optimal control of a class of industrial processes
Author :
Villa, J.L. ; Duque, M. ; Gauthier, A. ; Rakoto-Ravalontsalama, N.
Author_Institution :
Ecole des Mines de Nantes, France
Abstract :
This paper presents a methodological approach of supervision and optimal control of some industrial processes. The modeling formalism used mixed logical and dynamical (MLD) systems framework, and it is used for obtaining a model predictive control (MPC) scheme. The methodology is applied to a water treatment plant in Bogota, Columbia and some preliminary results are presented.
Keywords :
optimal control; predictive control; process control; reservoirs; water treatment; Bogota; Columbia; dynamical system framework; industrial processes; logical system framework; model predictive control scheme; optimal control; process supervision; water treatment plant; Electrical equipment industry; Equations; Fault detection; Fault diagnosis; Industrial control; Information security; Mining industry; Optimal control; Predictive control; Predictive models;
Conference_Titel :
Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference
Print_ISBN :
0-7803-7937-3
DOI :
10.1109/ETFA.2003.1248693
