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
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[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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