Design and Implementation of Signal Filtering Techniques on Real-time Pressure Process Plant

In all the closed-loop feedback industrial processes, the measured sensor signal from the field environment is directly fed to the controller for processing. These raw signals contain the unwanted stochastic noise from the surroundings, which affects the process and controller performance. These issues can be rectified by employing a suitable filtering technique, and the feedback loop performance can be improved significantly. Hence, this paper aims to propose set-point and noise filtering usage in the process control loop. The proposed filtering technique is compared with the existing conventional methods and implemented over the real-time pressure process plant for performance analysis. Also, the numerical comparison is carried out in terms of the rise time, settling time, and peak overshoot for validation of the proposed approach.