System identification and adaptive self-tuning control for impressed current cathodic protection system
Pipeline infrastructure has become a very popular tool for transferring and distributing oil, gas and raw materials. Many of these pipelines extend along hundreds of miles and pass through remote, harsh and corrosive areas. This raises the prospect of cracks in their walls and cause leaks. In case o...
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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Online Access: | http://eprints.utm.my/id/eprint/33843/1/EzzEldinBallaMFKE2013.pdf http://eprints.utm.my/id/eprint/33843/ |
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| Summary: | Pipeline infrastructure has become a very popular tool for transferring and distributing oil, gas and raw materials. Many of these pipelines extend along hundreds of miles and pass through remote, harsh and corrosive areas. This raises the prospect of cracks in their walls and cause leaks. In case of pipelines fail due to corrosion resulting in leakage, they will often lead to loss of products followed by environmental and financial damages on a national scale. Therefore, protecting materials and structures against corrosion is a significant issue especially in tropical countries such as Malaysia which has high humidity climate (corrosiveness factor). This latest, promotes the need for specialized research to be done for preventing corrosion. Consequently, in this study we have focused on the most practical method of cathodic protection systems which is impressed current cathodic protection (ICCP) system. This system is widely used to prevent the external corrosion of carbon steel structures; especially those are used in underground pipelines. Basically, in this project the theoretical background and the concepts of ICCP systems have been discussed. An effective laboratory scale for ICCP systems was built according to specific concepts has been clarified. Then, parametric model of ICCP systems was obtained using system identification approach. Furthermore, to enhance the performance of ICCP systems, proportional-integral (PI) and direct self-tuning generalized minimum variance (ST GMV) controllers have been designed. Additionally, simulation and experimental works have been carried out to control ICCP systems at different operating conditions. Finally, the ST GMV controller leads to improve the system speed response and to decrease the integral of absolute error, which is lower value compared to close loop using PI controller. |
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