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Particle Swarm Optimization-Based Ultrasonic Waveform Design Method

  • Xuesong Wang
  • , Xiufeng Lin
  • , Zhigang Sun
  • , Zhichao Li*
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A physically constrained ultrasonic waveform design method based on Particle Swarm Optimization (PSO) is proposed for clamp-on flowmeters operating in micro-flow conditions (pipe < DN20, velocity < 0.1 ms). Voltage Amplitude Difference (VAD) measurements suffer from amplitude instability under sinusoidal excitation due to narrow bandwidth and transducer nonlinearity. By embedding the experimentally derived transfer function into a PSO framework, the optimized waveform achieves a broadened 4.1 MHz spectrum, suppresses harmonics, and reduces envelope fluctuation below ± 0.16%. Experiments confirm improved VAD stability and continuity, offering a robust excitation scheme for low-velocity flow measurement.

Original languageEnglish
Title of host publicationProceedings - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331558079
DOIs
StatePublished - 2026
Externally publishedYes
Event2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026 - Xi'an, China
Duration: 23 Jan 202625 Jan 2026

Publication series

NameProceedings - 2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026

Conference

Conference2026 International Conference on Robotics, Automation and Intelligent Transportation Systems, RAITS 2026
Country/TerritoryChina
CityXi'an
Period23/01/2625/01/26

Keywords

  • flow measurement
  • particle swarm optimization
  • ultrasonic signal design
  • voltage amplitude difference

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