Title :
Genetic multi-objective pareto optimisation of state observers for FDI
Author :
Kowalczuk, Z. ; Suchomski, P. ; Bialaszewski, T.
Author_Institution :
Dept. of Autom. Control, W.T.E.I. Tech. Univ. of Gdansk, Gdańsk, Poland
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
The Pareto optimisation approach to multi-objective design of residual generators, which are utilised in fault detection and isolation (FDI) systems for plant monitoring and control, is under consideration. Genetic algorithms are applied to polioptimise this issue. The resulting robust FDI observer servers as a basis for fault detection, while minimising the effects of false alarms.
Keywords :
Pareto optimisation; control system synthesis; fault diagnosis; genetic algorithms; observers; production control; robust control; FDI system; fault detection and isolation; genetic algorithm; genetic multiobjective Pareto optimisation; multiobjective design; plant control; plant monitoring; residual generator; robust FDI observer; state observer; Genetic algorithms; Genetics; Observers; Optimization; Robustness; Sociology; Statistics; FDI observers; Pareto-optimality; genetic algorithms; multi-objective optimisation;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
