DocumentCode :
1266421
Title :
Improving the efficiency of high power piezoelectric transducers for industrial applications
Author :
Davari, Pooya ; Ghasemi, Negareh ; Zare, Firuz ; O´Shea, Peter ; Ghosh, A.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia
Volume :
6
Issue :
4
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
213
Lastpage :
221
Abstract :
Most high-power ultrasound applications are driven by two-level inverters. However, the broad spectral content of the two-level pulse results in undesired harmonics that can decrease the performance of the system significantly. On the other hand, it is crucial to excite the piezoelectric devices at their main resonant frequency in order to have maximum energy conversion. Therefore a high-quality, low-distorted power signal is needed to excite the high-power piezoelectric transducer at its resonant frequency. This study proposes an efficient approach to develop the performance of high-power ultrasonic applications using multilevel inverters along with a frequency estimation algorithm. In this method, the resonant frequencies are estimated based on relative minimums of the piezoelectric impedance frequency response. The algorithm follows the resonant frequency variation and adapts the multilevel inverter reference frequency to drive an ultrasound transducer at high power. Extensive simulation and experimental results indicate the effectiveness of the proposed approach.
Keywords :
distortion; frequency estimation; frequency response; harmonics suppression; piezoelectric transducers; resonant invertors; ultrasonic transducers; industrial application; multilevel inverter reference frequency; piezoelectric device; piezoelectric impedance frequency response; piezoelectric transducer; power signal distortion; resonant frequency estimation; resonant frequency variation; ultrasound transducer; undesired harmonics;
fLanguage :
English
Journal_Title :
Science, Measurement & Technology, IET
Publisher :
iet
ISSN :
1751-8822
Type :
jour
DOI :
10.1049/iet-smt.2011.0209
Filename :
6270244
Link To Document :
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