An Optimal Dead Time Compensator Design for Nonsquare Process with Disturbance Rejection*

This work aims to establish an optimal design of the Smith dead-time compensator for a nonsquare multivariable system with a transfer function matrix containing first-order dead time elements. The scheme has a set point tracking controller along with disturbance rejection using an optimal estimator. An inverse signal from the estimator eliminates the disturbance. The proposed method significantly improves the disturbance rejection and performance index compared to the other established methods. The common evolutionary algorithms such as the grey wolf optimization technique and teaching learning based algorithm have been used to tune the controllers.