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.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Skaar, S.E., Nilssen, R.: Genetic optimization of electric machines, a state of the art study. In: NORPIE 2004, NTNU, Trondheim, Norway (2004)
Alkhatib, R., Jazar, G.N., Golnaraghi, M.F.: Optimal design of passive linear suspension using genetic algorithm. Journal of Sound and Vibration 275, 665–691 (2004)
Chao, P.C.-P., Wu, S.C.: Optimal design of magnetic zooming mechanism used in cameras of mobile phones via genetic algorithm. IEEE Transactions Magnetics 43(6), 2579–2581 (2007)
Chiu, C.W., Chao, P.C.-P., Wu, D.Y.: Optimal design of magnetically actuated optical image stabilizer mechanism for cameras in mobile phones via genetic algorithm. IEEE Transactions Magnetics 43(6), 2582–2584 (2007)
Liu, C.-S., Lin, P.D., Lin, P.-H., Ke, S.-S., Chang, Y.-H., Horng, J.-B.: Design and Characterization of Miniature Auto-Focusing Voice Coil Motor Actuator for Cell Phone Camera Applications. IEEE Transactions Magnetics 45(1), 155–159 (2009)
Senkerik, R., Zelinka, I.: Optimization and Control of Batch Reactor by Evolutionary Algorithms. In: European Simulation Multiconference 2005, Riga, Latvia, pp. 59–65 (2005)
Hadas, Z., Zouhar, J., Singule, V., Ondrusek, C.: Design of Energy Harvesting Generator Base on Rapid Prototyping Parts. In: IEEE 13th Power Electronics and Motion Control Conference Poznan, Poland, pp. 1688–1692 (2008)
Hadas, Z., Singule, V., Ondrusek, C.: Optimal Design of Vibration Power Generator for Low Frequency. Solid State Phenomena 149-147, 426–431 (2009)
Hadas, Z., Singule, V., Ondrusek, C., Kluge, M.: Simulation of Vibration Power Generator. In: Recent Advances in Mechatronics, pp. 350–354. Springer, Heidelberg (2007)
Zelinka, I.: SOMA - Self-Organizing Migrating Algorithm. In: Babu, B.V., Onwubolu, G. (eds.) New optimization techniques in engineering, ch. 7, Springer, Heidelberg (2004)
Soma, I.Z.: Faculty of Technology. Tomas Bata University, Czech Republic, http://www.ft.utb.cz/people/zelinka/soma/ [cit. 25.5.2009]
Kurfürst, J.: Optimalization of Vibration Micro-Generator. Thesis, Brno University of Technology, Faculty of Electrical Engineering and Communication Supervisor Prof. C. Ondrusek, 67 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-05022-0_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05021-3
Online ISBN: 978-3-642-05022-0
eBook Packages: EngineeringEngineering (R0)