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

fYear

2010

fDate

3-7 Oct. 2010

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting (IAS), 2010 IEEE

Conference_Location

Houston, TX

ISSN

0197-2618

Print_ISBN

978-1-4244-6393-0

Type

conf

DOI

10.1109/IAS.2010.5615645

Filename

5615645