DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL APPLICATION
In general, this project aims to enhance the capability of conventional PID controller by designing and implementing the Adaptive Fuzzy Logic PID Controller (AFPIDC) and compare its performance with the conventional Fuzzy Logic Controller (FLC) for Flow Control Application in the process plant. T...
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Universiti Teknologi Petronas
2011
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my-utp-utpedia.71982017-01-25T09:41:38Z http://utpedia.utp.edu.my/7198/ DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL APPLICATION MAZLAN, ZULFADHLI TK Electrical engineering. Electronics Nuclear engineering In general, this project aims to enhance the capability of conventional PID controller by designing and implementing the Adaptive Fuzzy Logic PID Controller (AFPIDC) and compare its performance with the conventional Fuzzy Logic Controller (FLC) for Flow Control Application in the process plant. The implementation has been done onto the PeA SimExpert Mobile Pilot Plant SE231B-21 Flow Control and Calibration Process Unit. This mobile plant consists of several flow measurements which are Orifice, Coriolis and Vortex Flow Meter. Currently, controlling and tuning is done via KONJCS PID controller that is mounted on the local control panel. However, current PID controller does not provide faster response and need to be manually tuned. Thus, the AFPIDC will be developed and implemented to compare with the existing PID controller and to design a DCS-HMI interface using MATLAB/Simulink for this pilot plant. The required hardware tools for this project will be USB-1208 FS Personal Measurement Device and MATLAB product family. The Fuzzy Inference System (FIS) are developed using Mamdani Approach. This involves designing and tuning of the membership functions, input/output rules and the de-fuzzification technique. Fuzzy Logic reasoning is used to produce adaptive PID gain that will be added up with the initial PID gain. Overall, the control performances of each controller (PID, FLC and AFPIDC) will be compared and analyzed for flow control application. Universiti Teknologi Petronas 2011-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/7198/1/2011%20-%20Development%20and%20implementation%20of%20adaptiv%20fuzzy%20pid%20controller%20%28AFPIDC%29%20for%20flow%20control%20a.pdf MAZLAN, ZULFADHLI (2011) DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL APPLICATION. Universiti Teknologi Petronas. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering MAZLAN, ZULFADHLI DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL APPLICATION |
description |
In general, this project aims to enhance the capability of conventional PID controller by
designing and implementing the Adaptive Fuzzy Logic PID Controller (AFPIDC) and
compare its performance with the conventional Fuzzy Logic Controller (FLC) for Flow
Control Application in the process plant. The implementation has been done onto the
PeA SimExpert Mobile Pilot Plant SE231B-21 Flow Control and Calibration Process
Unit. This mobile plant consists of several flow measurements which are Orifice,
Coriolis and Vortex Flow Meter. Currently, controlling and tuning is done via KONJCS
PID controller that is mounted on the local control panel. However, current PID
controller does not provide faster response and need to be manually tuned. Thus, the
AFPIDC will be developed and implemented to compare with the existing PID
controller and to design a DCS-HMI interface using MATLAB/Simulink for this pilot
plant. The required hardware tools for this project will be USB-1208 FS Personal
Measurement Device and MATLAB product family. The Fuzzy Inference System (FIS)
are developed using Mamdani Approach. This involves designing and tuning of the
membership functions, input/output rules and the de-fuzzification technique. Fuzzy
Logic reasoning is used to produce adaptive PID gain that will be added up with the
initial PID gain. Overall, the control performances of each controller (PID, FLC and
AFPIDC) will be compared and analyzed for flow control application. |
format |
Final Year Project |
author |
MAZLAN, ZULFADHLI |
author_facet |
MAZLAN, ZULFADHLI |
author_sort |
MAZLAN, ZULFADHLI |
title |
DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE
FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL
APPLICATION |
title_short |
DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE
FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL
APPLICATION |
title_full |
DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE
FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL
APPLICATION |
title_fullStr |
DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE
FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL
APPLICATION |
title_full_unstemmed |
DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE
FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL
APPLICATION |
title_sort |
development and implementation of adaptive
fuzzy pid controller (afpidc) for flow control
application |
publisher |
Universiti Teknologi Petronas |
publishDate |
2011 |
url |
http://utpedia.utp.edu.my/7198/1/2011%20-%20Development%20and%20implementation%20of%20adaptiv%20fuzzy%20pid%20controller%20%28AFPIDC%29%20for%20flow%20control%20a.pdf http://utpedia.utp.edu.my/7198/ |
_version_ |
1739831433556393984 |
score |
13.160551 |