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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Engineering, University of Basrah
2016-12-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.org/volums/volume12/IJEEE12PDF/paper1223.pdf |
| _version_ | 1811256354251210752 |
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| author | Bassim N. Abdul Sada Ramzy S. Ali Khearia A. Mohammed Ali |
| author_facet | Bassim N. Abdul Sada Ramzy S. Ali Khearia A. Mohammed Ali |
| author_sort | Bassim N. Abdul Sada |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T17:39:55Z |
| format | Article |
| id | doaj.art-a9960850788d442fb00b958256ca3f77 |
| institution | Directory Open Access Journal |
| issn | 1814-5892 2078-6069 |
| language | English |
| last_indexed | 2024-04-12T17:39:55Z |
| publishDate | 2016-12-01 |
| publisher | College of Engineering, University of Basrah |
| record_format | Article |
| series | Iraqi Journal for Electrical and Electronic Engineering |
| spelling | doaj.art-a9960850788d442fb00b958256ca3f772022-12-22T03:22:51ZengCollege of Engineering, University of BasrahIraqi Journal for Electrical and Electronic Engineering1814-58922078-60692016-12-01122214220Identification and Control of Impressed Current Cathodic Protection SystemBassim N. Abdul Sada0Ramzy S. Ali1Khearia A. Mohammed Ali2Electrical Engineering Department University of Basrah Basrah, IraqElectrical Engineering Department University of Basrah Basrah, IraqElectrical Eng. Electrical Power Eng. Electrical Eng. University of Basrah Middle Technical University University of Basrah Basra/ Iraq.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.http://ijeee.org/volums/volume12/IJEEE12PDF/paper1223.pdfANFIScathodic protectionFuzzy ControllerICCP systemReference electrode |
| spellingShingle | Bassim N. Abdul Sada Ramzy S. Ali Khearia A. Mohammed Ali Identification and Control of Impressed Current Cathodic Protection System Iraqi Journal for Electrical and Electronic Engineering ANFIS cathodic protection Fuzzy Controller ICCP system Reference electrode |
| title | Identification and Control of Impressed Current Cathodic Protection System |
| title_full | Identification and Control of Impressed Current Cathodic Protection System |
| title_fullStr | Identification and Control of Impressed Current Cathodic Protection System |
| title_full_unstemmed | Identification and Control of Impressed Current Cathodic Protection System |
| title_short | Identification and Control of Impressed Current Cathodic Protection System |
| title_sort | identification and control of impressed current cathodic protection system |
| topic | ANFIS cathodic protection Fuzzy Controller ICCP system Reference electrode |
| url | http://ijeee.org/volums/volume12/IJEEE12PDF/paper1223.pdf |
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