Power generation piezoelectric vibration for sensor
Proper Power generation piezoelectric vibrations have been proven to be an attractive technology for harvesting small magnitudes of energy from ambient vibrations. In recent years, energy harvesting to obtain electrical energy from the energy that exists around the body (energy harvesting) technolog...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Asian Research Publishing Network (ARPN)
2016
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| Subjects: | |
| Online Access: | http://www.arpnjournals.com http://www.arpnjournals.com http://eprints.uthm.edu.my/8298/1/jeas_0616_4487.pdf |
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| Summary: | Proper Power generation piezoelectric vibrations have been proven to be an attractive technology for harvesting
small magnitudes of energy from ambient vibrations. In recent years, energy harvesting to obtain electrical energy from the
energy that exists around the body (energy harvesting) technology is attracting attention. This work investigates the
optimization of a micro piezoelectric cantilever system using a genetic algorithm based approach with numerical
simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency
response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only
optimize the resistive load for a given resonant frequency. Focus on the method of using the electrostatic induction which
gives high conversion efficiency. Step by step manufacturing process slider chip discussed. Research toward an
independence operation of the fabrication mechanical sensor network terminal and introduces the micro vibration power
generation technology has been developed. Experimental acceleration data from the vibrations cover demonstrates that the
optimized harvester automatically selects the right frequency and also synchronously optimizes the damper and the
resistive load beneficial in contributing a performance wise for output energy. This method shows great potential for
optimizing the energy harvesting systems with real vibration data |
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