Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F09%3APU84855" target="_blank" >RIV/00216305:26210/09:PU84855 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm
Original language description
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 complexityof 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 name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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