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

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.