Neuro-fuzzy controller implementation for an adaptive cathodic protection on Iraq-Turkey crude oil pipeline


Akcayol M. A. , Sagiroglu Ş.

APPLIED ARTIFICIAL INTELLIGENCE, vol.21, no.3, pp.241-256, 2007 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 3
  • Publication Date: 2007
  • Doi Number: 10.1080/08839510701196345
  • Title of Journal : APPLIED ARTIFICIAL INTELLIGENCE
  • Page Numbers: pp.241-256

Abstract

Impressed current cathodic protection is widely used to prevent corrosion of structural steels, especially, those used in a crude oil pipeline. The potential required for cathodic protection depends upon the steel being protected from the environment. Since corrosion rate depends on current flow to or from the steel and the adjacent medium, the corrosion activity of the steel in soil normally increases as soil resistivity decreases. The major constituents are resistivity, chlorides, sulfates, and the acidity (pH) of the soil. Output voltage, depending on desired reference voltage, needs to be controlled and tuned by transformer rectifier (TR) units. Proportional-integral (PI) and proportional-integral-derivative (PID) controllers have been used recently in tuning the output voltage, but overshoot and oscillation occurred in the outputs.