Employing Nonlinear Model based PI like Controller for the Time Varying System

Abstract

This work outlines an adaptive non-linear model-based PI like control scheme for the spherical tank level system. The efficiency of the model-based PI like control law is implemented by conducting simulation studies on the spherical tank system. The servo compliance with above said control problem exhibit satisfactory performances. Simultaneously, model state(s) and the influential model parameter(s) were estimated using unscented Kalman filter algorithm and the updated state values of the process model were employed to derive the control strategy. From the effective analysis, it has been observed that the model-based PI like control scheme utilizing non-linear Kalman filter strategy offers better performance over the traditional non-linear model-based PI like controller.