Application of Genetic Algorithms to the Optimization of a Roll-Type Electrostatic Separation Process

Author

Dahou, Omar ; Medles, Karim ; Touhami, Seddik ; Boukhoulda, Mohamed Fodil ; Tilmatine, Amar ; Dascalescu, Lucian

Author_Institution

Lab. Interaction Reseaux Electr. Convertisseur Machine, Univ. Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbès, Algeria

Volume

47

Issue

5

fYear

2011

Firstpage

2218

Lastpage

2223

Abstract

The aim of this work is the development of a procedure for optimal control of electrostatic separation processes for the recycling industry using a genetic algorithm. The target is to maximize the conductor product, with the control variables being the high voltage that supplies the electrode system of the roll-type corona-electrostatic separator 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 roll electrode.

Keywords

conductors (electric); electrostatic precipitators; genetic algorithms; optimal control; separation; voltage control; conductor product; dysfunction situation; electrode system; genetic algorithm; high voltage control variable; industrial practice; optimal control; optimization; recycling industry; roll-type corona electrostatic separation process; rotating roll electrode; speed variation; Electrostatics; Genetic algorithms; Optimization; Particle separators; Process control; Voltage control; Electrostatic processes; genetic algorithm (GA);

fLanguage

English

Journal_Title

Industry Applications, IEEE Transactions on

Publisher

ieee

ISSN

0093-9994

Type

jour

DOI

10.1109/TIA.2011.2161851

Filename

5953499