Identification and control of impressed current Cathodic protection system

In this paper the identification and control for the impressed current cathodic protection (ICCP) system are present. Firstly, an identification model using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) was implemented. The identification model consists of four inputs which are the aeration flow...

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Bibliographic Details
Published in:Iraqi journal for electrical and electronic engineering 2016-12, Vol.12 (2), p.214-220
Main Authors: Abd Sadah, Basim N., Ali, Khayriyah A. Muhammad, Ali, Ramzi S.
Format: Article
Language:English
Subjects:
ANFIS
cathodic protection
Fuzzy Controller
ICCP system
Reference electrode
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Summary:In this paper the identification and control for the impressed current cathodic protection (ICCP) system are present. Firstly, an identification model using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) was implemented. The identification model consists of four inputs which are the aeration flow rates, the temperature, conductivity, and protection current, and one output that represented by the structure-to-electrolyte potential. The used data taken from an experimental CP system model, type impressed current submerged sample pipe carbon steel. Secondly, two control techniques are used. The first control technique use a conventional Proportional-Integral-Derivative (PID) controller, while the second is the fuzzy controller. The PID controller can be applied to control ICCP system and quite easy to implement. But, it required very fine tuning of its parameters based on the desired value. Furthermore, it needed time response more than fuzzy controller to track reference voltage. So the fuzzy controller has a faster and better response.
ISSN:1814-5892
2078-6069
2078-6069
DOI:10.33762/eeej.2016.118380