Optimization of the driving signal of an ultrasonic transducer using a genetic algorithm

J.P. Vlasma, Arthur P. Berkhoff, H. Kuipers, Hendrik Kuipers

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    Abstract

    A method of reducing the response time of an ultrasonic transducer by optimizing the driving signal is presented. The optimization is performed with all hardware in the optimization loop. The driving signal is divided into two parts, a part used to excite the transducer and a part for damping the vibration of the transducer. The latter part is optimized by using the Genetic Algorithm Toolbox of Matlab in combination of an arbitrary waveform generator, transducers and an oscilloscope, which are controlled by the Instrument Control Toolbox of Matlab. The results of the optimization show that this is an effective way of reducing the response time of the transducers. The results show an average response time reduction of approximately 25%.
    Original languageUndefined
    Title of host publicationProceedings of SPS-DARTS 2005 the first annual IEEE BENELUX/DSP Valley Signal Processing Symposium
    Place of PublicationAntwerp
    PublisherIEEE Benelux Chapter Signal Processing
    Pages197-200
    Number of pages4
    ISBN (Print)not assigned
    Publication statusPublished - 19 Apr 2005
    Event1st Annual IEEE BENELUX/DSP Valley Signal Processing Symposium, SPS-DARTS 2005 - Antwerp, Belgium
    Duration: 19 Apr 200520 Apr 2005
    Conference number: 1

    Publication series

    Name
    PublisherIEEE Benelux Chapter Signal Processing
    VolumePaper 170

    Conference

    Conference1st Annual IEEE BENELUX/DSP Valley Signal Processing Symposium, SPS-DARTS 2005
    Abbreviated titleSPS-DARTS
    CountryBelgium
    CityAntwerp
    Period19/04/0520/04/05

    Keywords

    • IR-64779
    • METIS-227795
    • EWI-12789

    Cite this

    Vlasma, J. P., Berkhoff, A. P., Kuipers, H., & Kuipers, H. (2005). Optimization of the driving signal of an ultrasonic transducer using a genetic algorithm. In Proceedings of SPS-DARTS 2005 the first annual IEEE BENELUX/DSP Valley Signal Processing Symposium (pp. 197-200). Antwerp: IEEE Benelux Chapter Signal Processing.