Open AccessIdentification and Control of Impressed Current Cathodic Protection System
Author(s) -
Bassim Sada,
Ramzy S. Ali,
Khearia Ali
Publication year - 2016
Publication title -
iraqi journal for electrical and electronic engineering/al-maǧallaẗ al-ʻirāqiyyaẗ al-handasaẗ al-kahrabāʼiyyaẗ wa-al-ilikttrūniyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2078-6069
pISSN - 1814-5892
DOI - 10.37917/ijeee.12.2.12
Subject(s) - pid controller , control theory (sociology) , controller (irrigation) , control engineering , adaptive neuro fuzzy inference system , computer science , current (fluid) , fuzzy control system , cathodic protection , control system , system identification , identification (biology) , fuzzy logic , temperature control , engineering , control (management) , anode , electrical engineering , data mining , artificial intelligence , chemistry , agronomy , botany , electrode , biology , measure (data warehouse)
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.