Publication detail
Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm
HADAŠ, Z. ONDRŮŠEK, Č. KURFÜRST, J.
Czech title
Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm
English title
Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm
Type
conference paper
Language
en
Original abstract
This paper deals with a self-organizing migrating algorithm (SOMA) for an optimization of vibration power generator parameters. The vibration power generator is an energy harvesting device, which is capable of harvest electrical en-ergy from an ambient mechanical vibration. The generator consists of a precise mechanical part, electro-mechanical converter and electronics. It creates a com-plex mechatronic system, where parameters of individual parts are mutually af-fected. For effective harvesting of energy all parameters have to be tuned up opti-mally to nature of an excited vibration and required output power. A generator model can be used for optimization study of maximal output power and minimiza-tion of generator volume. Main problem is complexity of this system and number of parameters in mutual feed back of this mechatronic system. Thus the SOMA is applied to the optimization problem of the vibration power generator.
Czech abstract
This paper deals with a self-organizing migrating algorithm (SOMA) for an optimization of vibration power generator parameters. The vibration power generator is an energy harvesting device, which is capable of harvest electrical en-ergy from an ambient mechanical vibration. The generator consists of a precise mechanical part, electro-mechanical converter and electronics. It creates a com-plex mechatronic system, where parameters of individual parts are mutually af-fected. For effective harvesting of energy all parameters have to be tuned up opti-mally to nature of an excited vibration and required output power. A generator model can be used for optimization study of maximal output power and minimiza-tion of generator volume. Main problem is complexity of this system and number of parameters in mutual feed back of this mechatronic system. Thus the SOMA is applied to the optimization problem of the vibration power generator.
English abstract
This paper deals with a self-organizing migrating algorithm (SOMA) for an optimization of vibration power generator parameters. The vibration power generator is an energy harvesting device, which is capable of harvest electrical en-ergy from an ambient mechanical vibration. The generator consists of a precise mechanical part, electro-mechanical converter and electronics. It creates a com-plex mechatronic system, where parameters of individual parts are mutually af-fected. For effective harvesting of energy all parameters have to be tuned up opti-mally to nature of an excited vibration and required output power. A generator model can be used for optimization study of maximal output power and minimiza-tion of generator volume. Main problem is complexity of this system and number of parameters in mutual feed back of this mechatronic system. Thus the SOMA is applied to the optimization problem of the vibration power generator.
Keywords in English
Vibration Power Generator, Optimization. Genetic Algorithm, SOMA
RIV year
2009
Released
18.11.2009
Publisher
Springer-Verlag Berlin Heidelberg
Location
Berlin
ISBN
978-3-642-05021-3
Book
Recent Advancecs in Mechatronics 2008-2009
Edition number
1
Pages from–to
245–250
Pages count
6
BIBTEX
@inproceedings{BUT29379,
author="Zdeněk {Hadaš} and Čestmír {Ondrůšek} and Jiří {Kurfűrst},
title="Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm",
booktitle="Recent Advancecs in Mechatronics 2008-2009",
year="2009",
month="November",
pages="245--250",
publisher="Springer-Verlag Berlin Heidelberg",
address="Berlin",
isbn="978-3-642-05021-3"
}