Evaluation of various tuning rules for tuning of pressure process control / Auni Atiqah Majed

Process control tuning is essential to maintaining process stability and ensuring that disturbances are quickly rejected. Any risks areas can be found and addressed before they become an issue through tuning and optimization. Through automated systems, suspicious warnings can be automatically detected, allowing for a quicker response time to elevate high-risk situations to compliance. By enhancing system confidence and educating analysts on what to watch out for, tuning fosters a situation that encourages group model optimisation. Systems that function well and produce the anticipated warnings require less human interaction, which increases efficiency and lower costs. By using an open loop test and the Reformulated Tangent Method, the controller parameters, response rate (RR), and dead time (Td) may be calculated. Then, the Ziegler-Nichols rule, Cohen-Coon rule, and Takahashi rule are used to calculate the optimal values of the Proportional Band (PB), Integral Time (I), and Derivative (D). The intended settling criteria, such as settling time and the amount of the integral absolute error (IAE), determine how well each of the tuning rules performs the process response. This study’s goal is to analyse how various tuning rules affect the performance of pressure process controllers.