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Improvement of Ultrasonic Pulse Generator for Automatic Pipeline Inspection.

Noé Amir Rodríguez-Olivares1,2, José Vicente Cruz-Cruz3, Alejandro Gómez-Hernández4,5

  • 1Center for Engineering and Industrial Development (CIDESI), Santiago de Queretaro, Queretaro 76125, Mexico. noeamir@gmail.com.

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Summary

This study enhances ultrasonic pulse generators for pipeline inspection gauges (PIGs) by implementing a control scheme to stabilize high-voltage (HV) pulses despite variable pulse repetition frequencies (PRF). This ensures reliable defect dimensioning and device protection during pipeline inspections.

Keywords:
PIDautoregressive exogenous modelneural networkpipeline inspection gaugesimultaneous optimization of several responsesultrasonic pulse generator

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Area of Science:

  • Electrical Engineering
  • Ultrasonic Testing
  • Control Systems

Background:

  • Pipeline inspection gauges (PIGs) utilize ultrasonic pulse generators with high-voltage (HV) power supplies for defect detection.
  • Existing DC-HV DC converters face challenges with variable pulse repetition frequencies (PRF) caused by pipeline conditions, leading to voltage drops and reduced pulse quality.
  • These issues can cause inaccurate defect dimensioning and potential damage to inspection devices.

Purpose of the Study:

  • To improve the stability and quality of high-voltage (HV) pulses generated for PIGs.
  • To mitigate the negative effects of variable pulse repetition frequencies (PRF) on the ultrasonic inspection system.
  • To ensure reliable defect detection and prevent device damage during pipeline inspections.

Main Methods:

  • Characterized DC-HV DC converter transfer functions under varying load conditions (10%, 45%, 80%) using the least squares technique and an autoregressive exogenous (ARX) model.
  • Implemented and compared three control schemes: Proportional-Integral-Derivative (PID) tuned by simultaneous optimization of several responses (SOSR), PID tuned by neural network (NN), and Proportional-Integral (PI) tuned by analytical design method (ADM).
  • Evaluated control schemes based on recovery time, maximum over-voltage, and excess energy during simulated shock and hammer effects.

Main Results:

  • The implemented control scheme successfully maintained high-quality HV pulses despite variable PRF.
  • Comparison of control strategies identified optimal performance metrics for recovery time, over-voltage, and energy.
  • Verification showed improved ultrasonic pulse generation with the control scheme compared to the uncontrolled system.

Conclusions:

  • The developed control scheme effectively stabilizes HV pulse generation in ultrasonic PIGs under challenging pipeline conditions.
  • This enhancement leads to more accurate defect dimensioning and increased system reliability.
  • The findings contribute to the advancement of non-destructive testing technologies for pipeline integrity.