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 energy from an ambient mechanical vibration. The generator consists of a precise mechanical part, electro-mechanical converter and electronics. It creates a complex mechatronic system, where parameters of individual parts are mutually affected. For effective harvesting of energy all parameters have to be tuned up optimally to nature of an excited vibration and required output power. A generator model can be used for optimization study of maximal output power and minimization 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.
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Hadaš, Z., Ondrůšek, Č., Kurfürst, J. (2010). Optimization of Vibration Power Generator Parameters Using Self-Organizing Migrating Algorithm. In: Brezina, T., Jablonski, R. (eds) Recent Advances in Mechatronics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05022-0_42
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DOI: https://doi.org/10.1007/978-3-642-05022-0_42
Publisher Name: Springer, Berlin, Heidelberg
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