DEVELOPMENT AND IMPLEMENTATION OF ADAPTIVE FUZZY PID CONTROLLER (AFPIDC) FOR FLOW CONTROL APPLICATION

• Main Author: MAZLAN, ZULFADHLI
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: 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/

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.