Improvement of Ultrasonic Pulse Generator for Automatic Pipeline Inspection

This paper presents the improvement of an ultrasonic pulse generator for a pipeline inspection gauge (PIG), which uses 64 transducers for inspecting distances up to 100 km with an axial resolution fixed at 3 mm and variable speeds between 0 and 2 m/s. An ultrasonic pulse generator is composed of a high-voltage (HV) MOSFETs, driver logic and an HV power supply. We used a DC-HV DC converter device as the HV power supply because it reduces the size of the ultrasound system considerably. However, pipeline geometry and inspection effects such as hammer and shock cause a variable pulse repetition frequency (PRF), producing voltage drops, poor quality of the HV pulse generated, failures in the dimensioning of defects and damage to devices by over-voltage. The authors' improvement is to implement a control scheme to maintain the high quality of the HV regardless of the variable PRF. To achieve this, the authors characterized three transfer functions of the DC-HV DC converter, varying the connected load to 10%, 45% and 80%. For the characterization, the authors used the least squares technique, considering an autoregressive exogenous (ARX) model. Later, the authors compared three control schemes: (1) proportional-integral-derivative (PID) tuned by simultaneous optimization of several responses (SOSR), (2) PID tuned by a neural network (NN) and (3) PI tuned by the analytical design method (ADM). The metrics used to compare the control schemes were the recovery time, the maximum over-voltage and the excess energy when the shock and hammer effects happen to occur. Finally, to verify the improvement of the HV pulser, the authors compared the ultrasonic pulses generated for various frequencies and amplitudes using the pulse generator with and without the control scheme.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 22p
  • Serial:
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    Open Access (libre)

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Filing Info

  • Accession Number: 01687354
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Nov 14 2018 3:49PM