Implementation of genetic algorithm for controlling the electromagnetic motor | Zendy

Pecolt Sebastian | Zendy; Krzyzynski Tomasz | Zendy; Kuznicki Andrzej | Zendy

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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)

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