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

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

článek ve sborníku ve WoS nebo Scopus

en

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.

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.

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.

Vibration Power Generator, Optimization. Genetic Algorithm, SOMA

2009

18.11.2009

Springer-Verlag Berlin Heidelberg

Berlin

978-3-642-05021-3

Recent Advancecs in Mechatronics 2008-2009

1

245–250

6