Input Selection for Disturbance Rejection Using a New Approach

Abstract

Degree of controllability for disturbance rejection is of interest because disturbance rejection is often the main objective of process control. Some plants have better “built-in” disturbance rejection capabilities than others, that is, their performance with respect to disturbance rejection is better. However, systematic measures for quantifying the effect of disturbance rejection have lacked. In this paper, we will propose a new measure representing degree of controllability for disturbance rejection. The measure can be obtained by solving two Lyapunov equations. Finally, the usefulness of the proposed measure will be demonstrated by applying it to the input selection problem for a linear tracked vehicle model.