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Designed of Automatic Frequency Tracking System for Ultrasound Based on FPGA

Published: 20 September 2019 Publication History
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  • Abstract

    The resonant frequency drift can be widely found in the application of ultrasonic transducer, which would reduce the work efficiency and destroy circuit components. In order to solve this problem, an automatic frequency tracking system based on FPGA is developed. The system makes use of fast Fourier transform (FFT) combined with fuzzy proportional-integral-derivative (PID) algorithm. Then, a frequency-tracking strategy is proposed to catch the optimal working frequency. The upper computer software is used to control and monitor the whole system, which is more convenient for various application scenarios. It is proven that the tracking of resonant frequency of the ultrasonic transducer can be achieved quickly and accurately. Furthermore, the main advantage of the design system is miniature, versatility and high stability. Finally, the effectiveness of proposed system is validated by an experimental example.

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    1. Designed of Automatic Frequency Tracking System for Ultrasound Based on FPGA

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      cover image ACM Other conferences
      RICAI '19: Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
      September 2019
      803 pages
      ISBN:9781450372985
      DOI:10.1145/3366194
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 20 September 2019

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      Author Tags

      1. FFT
      2. Frequency tracking
      3. Fuzzy control
      4. Ultrasonic transducer

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      RICAI 2019

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      RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
      Overall Acceptance Rate 140 of 294 submissions, 48%

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