PERFORMANCE COMPARISON OF PI AND FUZZY LOGIC CONTROLLER OF A HEAT RECOVERY STEAM GENERATOR

• Main Author: NIK MU'TASIM, ABDULLAH SOBRI
• 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/8270/1/2011%20-%20Performance%20comparison%20of%20Pi%20and%20fuzzy%20logig%20controller%20of%20A%20heat%20recovery%20steam%20generator.pdf; http://utpedia.utp.edu.my/8270/

Recently, energy consumption is getting increased rapidly. However, the sources of energy nowadays are limited and the demand is getting increased in the course of time. Heat recovery steam generator or HRSG is one of the big equipment that is productively being used these days to recover the heat and to produce it into steam that can be used in many applications. However, it is known that HRSG is a complex system and using conventional controller to control the system has brought a lot of drawbacks. Providentially, the requirements for fast and flexible responses along with the increasing complexities of modern plant process control applications has motivated new enhancements and works in the invention of various control techniques in many process plant and Fuzzy logic is known as one of the technique available. This project aims to develop a control strategy using a fuzzy logic controller to be used as a pressure controller to control the input of the Heat recovery steam generator (HRSG) model which is the exhaust gas from a connected gas turbine as per the steam demand and also as an alternative to the existing conventional PI controller. The model of the heat recovery steam generator and the designed Fuzzy logic controller is entirely developed by using the MATLAB/Simulink software. The PID and Fuzzy Logic toolbox available in the MATLAB Product Family is used to its full advantage in order to perform the necessary simulations for the designed controllers. Mamdani approach is chosen in order to develop the Fuzzy Inference System (FIS). The effectiveness, feasibility and the performance of the designed fuzzy logic controller is studied through simulation and the results are compared with the existing conventional PI controller. The simulation results shows that a fuzzy logic controller developed in this study yields a better performance compared to a PI controller in terms of settling time, overshoot, final value, rising time and integral of absolute error.