Publication

Abstract : In process control, signal filtering is a required field that needs continuous improvement for effective noise removal from the actual process signal. Processes implemented in noisy and uncertain environments are severely affected by external disturbance and stochastic noise. Properly feeding the necessary process signals like set-point, feedback, and control signals to the appropriate filters will significantly improve the process efficiency and increase the robustness of the control signals from the associated controller. This paper aims to design and implement an effective fractional-order set-point and noise filtering techniques for the processes with longer dead time. Simulation is carried out using the real-time process plants transfer functions to analyze the proposed filter performance. A comparison is made with the existing techniques to prove their effectiveness.