MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT
pH neutralization process plant are widely used in process industries including wastewater treatment, chemical process, biotechnology and pharmaceuticals. The control of pH process is recognized as a difficult problem due to highly nonlinear characteristics of the process. The purpose need to contro...
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Universiti Teknologi PETRONAS
2012
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my-utp-utpedia.40202017-01-25T09:40:41Z http://utpedia.utp.edu.my/4020/ MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT Ismail, Mohamad Afif bin TK Electrical engineering. Electronics Nuclear engineering pH neutralization process plant are widely used in process industries including wastewater treatment, chemical process, biotechnology and pharmaceuticals. The control of pH process is recognized as a difficult problem due to highly nonlinear characteristics of the process. The purpose need to control the pH value within a specific range is arise from environmental legislative and quality standard. pH control process gives numerous challenges in control strategies. This fact makes the research and development of this process control become more interesting. The first stage of this project is to develop a mathematical model of a specific chemical process, a pH neutralization process. The model would then provide an opportunity for development, testing and evaluation of an advanced form of controller. The second stage of this project concerns the development of advanced forms of controller on the pH model. Fuzzy Logic Controller (FLC) was implemented to control the pH value of this system and the result will compare against conventional PID controller based on performance on simulation test. The simulation is performed in the MATLAB environment using Simulink and Fuzzy Logic Toolbox. The research has been based entirely around a specific pH neutralization process pilot plant installed at the University Teknologi Petronas, Malaysia. The main feature of interest in this pilot plant is that it was built using instrumentation and actuators that are currently used in the process industries. Result shows that Fuzzy Logic Controller perform better than PI Controller. Universiti Teknologi PETRONAS 2012-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/4020/1/FINAL_REPORT_MOHAMAD_AFIF_B_ISMAIL_11383_EE_MAY_2012.pdf Ismail, Mohamad Afif bin (2012) MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT. Universiti Teknologi PETRONAS. |
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TK Electrical engineering. Electronics Nuclear engineering Ismail, Mohamad Afif bin MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT |
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pH neutralization process plant are widely used in process industries including wastewater treatment, chemical process, biotechnology and pharmaceuticals. The control of pH process is recognized as a difficult problem due to highly nonlinear characteristics of the process. The purpose need to control the pH value within a specific range is arise from environmental legislative and quality standard. pH control process gives numerous challenges in control strategies. This fact makes the research and development of this process control become more interesting. The first stage of this project is to develop a mathematical model of a specific chemical process, a pH neutralization process. The model would then provide an opportunity for development, testing and evaluation of an advanced form of controller. The second stage of this project concerns the development of advanced forms of controller on the pH model. Fuzzy Logic Controller (FLC) was implemented to control the pH value of this system and the result will compare against conventional PID controller based on performance on simulation test. The simulation is performed in the MATLAB environment using Simulink and Fuzzy Logic Toolbox. The research has been based entirely around a specific pH neutralization process pilot plant installed at the University Teknologi Petronas, Malaysia. The main feature of interest in this pilot plant is that it was built using instrumentation and actuators that are currently used in the process industries. Result shows that Fuzzy Logic Controller perform better than PI Controller. |
format |
Final Year Project |
author |
Ismail, Mohamad Afif bin |
author_facet |
Ismail, Mohamad Afif bin |
author_sort |
Ismail, Mohamad Afif bin |
title |
MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT |
title_short |
MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT |
title_full |
MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT |
title_fullStr |
MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT |
title_full_unstemmed |
MODELING & CONTROL pH NEUTRALIZATION PROCESS PILOT PLANT |
title_sort |
modeling & control ph neutralization process pilot plant |
publisher |
Universiti Teknologi PETRONAS |
publishDate |
2012 |
url |
http://utpedia.utp.edu.my/4020/1/FINAL_REPORT_MOHAMAD_AFIF_B_ISMAIL_11383_EE_MAY_2012.pdf http://utpedia.utp.edu.my/4020/ |
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1739831100351447040 |
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13.18916 |