Wahyuni Ningsih, Ade Sonya Suryandari, Mohammad Ghani, Profiyanti Hermin Suharti, May Kurnia Pratiwi, Anugrah Windy Mustikarini
Precise pressure control is vital in chemical processes involving pneumatic systems, where stability and responsiveness directly impact product quality and safety. This study presented the optimization of a PID control system implemented on the mathematical model of a PCT-14 pressure control trainer. A Genetic Algorithm (GA) was employed to determine the optimal values of PID parameters (Kp, Ki, Kd) that minimize overshoot, settling time, steady-state error, and integral time-weighted absolute error (ITAE). The results showed that the GA-tuned PID controller outperformed conventional tuning methods, such as Skogestad's and GoodGain method, providing smoother, faster, and more accurate control of air pressure in the simulated reactor. © 2025 IEEE.
Politeknik Negeri Malang, Chemical Engineering Department, Malang, Indonesia; Universitas Airlangga, Faculty of Advanced Technology and Multidiscipline, Surabaya, Indonesia
Research at a Glance
Register to unlock
Topics & SDG Alignment
Register to unlock
Collaboration
Register to unlock
Author Profile (Selected)
Register to unlock
References Overview
Register to unlock
Journal & Source
Register to unlock
Metadata & Integrity
Register to unlock