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Implementation of genetic algorithm for controlling the electromagnetic motor
Author(s) -
Pecolt Sebastian,
Krzyzynski Tomasz,
Kuznicki Andrzej
Publication year - 2009
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200910288
Subject(s) - genetic algorithm , energy (signal processing) , power (physics) , computer science , voltage , work (physics) , control theory (sociology) , set (abstract data type) , range (aeronautics) , position (finance) , electric motor , electrical engineering , physics , engineering , control (management) , mechanical engineering , artificial intelligence , finance , quantum mechanics , machine learning , aerospace engineering , economics , programming language
The paper deals with the problem of implementing a genetic algorithm (GA) to calculate a pareto‐optimal function of voltage in time‐domain powering solenoids, used to control a linear electromagnetic motor (e.m.). The method proposed assumes minimising two criteria: the time of motion of the linear electromagnetic motor and the energy input. The results have been obtained for a set position with a narrow range of power supply. The work of electromagnetic motor is based on electromagnetic repulsion. (© 2009 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)