PSO based optimization of a PI controller for a Real time Pressure process
Controlling pressure is one of the significant control actions that has been carried out in the industries. The objective of the work is to uphold the pressure in the closed loop at desired set value. The pressurized tank has the features of nonlinearity, sluggishness by tuning conventional PI methods. This paper focus on the development and implementation of an intelligent optimization to obtain an optimum PI controller setting for pressure control process. System identification of the process is done by process reaction curve method and found to be First Order Plus Dead Time (FOPDT) model .At first, a Proportional Integral (PI) controller based on Ziegler Nichols (ZN)-PI setting is designed and the results are compared with particle swarm optimization(PSO) based PI controller settings. The performance comparison of the designed controller settings are analyzed by time domain specification. The simulation results confirm that PSO-PI controller has improved dynamic performance on disturbance rejection.