Title :
Application of Genetic Algorithms to the Optimization of a Roll-Type Electrostatic Separation Process
Author :
Dahou, O. ; Medles, K. ; Touhami, S. ; Boukhoulda, M.F. ; Tilmatine, A. ; Dascalescu, L.
Author_Institution :
IRECOM, Univ. Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria
Abstract :
The aim of this work was the development of a procedure for optimal control of electrostatic separation processes using a genetic algorithm. The target was to maximize the conductor product, the control variables being the high voltage that supplies the electrode system and the inclination of the splitter between the two compartments in which are collected the conductor product and the middling. The effectiveness of the procedure is tested against a situation of dysfunction that can occur in industrial practice: a variation of the speed of the rotating drum electrode.
Keywords :
electrostatic precipitators; genetic algorithms; optimal control; separation; conductor product; electrode system; genetic algorithms; optimal control; roll-type electrostatic separation process; rotating drum electrode; Electrodes; Electrostatics; Mathematical model; Particle separators; Plastics; Process control;
Conference_Titel :
Industry Applications Society Annual Meeting (IAS), 2010 IEEE
Conference_Location :
Houston, TX
Print_ISBN :
978-1-4244-6393-0
DOI :
10.1109/IAS.2010.5615645
