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Resonant frequency detection method for Langevin type transducer based on neural network

A neural network model and neural network technology, applied in the field of transducer resonance frequency detection, can solve problems such as limiting the range of use of ultrasonic power supplies, failure to recognize series resonance frequencies of new transducers, and inapplicability of adaptive adjustment of ultrasonic power supplies. The effect of low cost, stable resonance and high precision

Pending Publication Date: 2021-06-04
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

[0004] At present, ultrasonic power supplies and transducers in the market are basically configured one-to-one. When replacing transducers with different resonant frequencies, the ultrasonic power supply cannot recognize the series resonant frequency of the new transducer and achieve dynamic matching; for transducers connected in series Theoretical research on resonant frequency is only limited to static parameter research and measurement, such research is not suitable for adaptive adjustment of ultrasonic power supply, which greatly limits the scope of use of ultrasonic power supply

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  • Resonant frequency detection method for Langevin type transducer based on neural network
  • Resonant frequency detection method for Langevin type transducer based on neural network
  • Resonant frequency detection method for Langevin type transducer based on neural network

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] Such as Figure 4 As shown, the method for detecting the resonant frequency of the Langevin type transducer based on the neural network of the present invention first adopts the transducer characteristic measurement module to extract the main influencing factors affecting the resonant frequency of the transducer, and then inputs the main influencing factors into the neural network The detection module uses the neural network detection module to output the corresponding resonant frequency through the calculation of the neural network, and then combines a small number of transducers with different specifications as the sample data for neural network training, and uses particle swarm optimization algorithm to optimize the neural network parameters, further improving the accuracy of the output resonant frequency of the network.

[0025] The resonant...

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Abstract

The invention relates to a resonant frequency detection method for a Langevin type transducer based on a neural network, which comprises the following steps of: firstly, extracting main influence factors influencing the resonant frequency of the transducer by adopting a transducer characteristic measurement module, and then inputting the main influence factors into a neural network detection module; enabling a neural network detection module to output a corresponding resonant frequency through calculation of a neural network, then combining a small number of transducers of different specifications to serve as sample data of neural network training, optimizing parameters of the neural network by adopting a particle swarm optimization algorithm, and further improving the precision of the output resonant frequency of the network. The method has the characteristics of low cost, high efficiency and high precision, and the resonant frequency at the moment can be detected in time when the resonant frequency of the transducer changes.

Description

technical field [0001] The invention relates to a method for detecting the resonant frequency of a transducer, in particular to a method for detecting the resonant frequency of a Langevin type transducer Background technique [0002] Ultrasonic transducers are energy conversion devices that convert alternating electrical signals into acoustic signals or convert acoustic signals into electrical signals within the ultrasonic frequency range. Control the power supply to apply an appropriate excitation frequency to make the transducer resonate as a whole. At this time The amplitude of the transducer will be significantly improved, the vibration will be relatively stable, and the energy conversion efficiency will be the highest. The frequency at which the transducer resonates is called the resonant frequency of the transducer. In an ideal state, the condition for the transducer to resonate is that the excitation frequency applied by the outside is equal to the natural frequency o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H13/00G06N3/00G06N3/04G06N3/08
CPCG01H13/00G06N3/006G06N3/084G06N3/045G06N3/044
Inventor 甘屹孟斌孙福佳马洪运何伟铭高丽
Owner UNIV OF SHANGHAI FOR SCI & TECH