Title: Tuning of PI Controller Using Fuzzy Logic for Gas Pressure Control on Decanting Process
Authors: Wahyudi, Ananda Hikmawan
Volume: 9
Issue: 11
Pages: 183-198
Publication Date: 2025/11/28
Abstract:
Compressed natural gas (CNG) pressure control is a crucial aspect in gas-fired power generation to maintain operational stability and system safety. One of the main components in this process is the pressure letdown valve, which lowers the gas pressure from a high level to the level required by the generation system. However, the main challenge that is often faced is the slow response of the control system to changes in load, which can affect the efficiency and reliability of the system. To overcome this, a PI controller is designed with tuning using fuzzy logic that can adjust the control parameters (Kp and Ki) adaptively according to the system conditions. This approach is implemented through mathematical modeling and simulation using MATLAB Simulink. The simulation results show that the PI controller with fuzzy logic tuning can significantly improve the pressure letdown valve control performance compared to the conventional PI control method. The system exhibits lower rise time, stabilization time, and overshoot, as well as a faster and stable response to changes in reference values and momentary disturbances. In addition, the value of performance indicators such as ISE, IAE, and ITAE also decreased significantly, reflecting the improvement in the efficiency and reliability of the control system. This research provides an effective solution for optimizing gas pressure control using pressure letdown valves in gas power generation, supporting more efficient and reliable operations.