INPUT SELECTION FOR DISTURBANCE REJECTION UNDER MANIPULATED VARIABLE CONSTRAINTS

In this paper, two new input screening techniques that consider the di sturbance rejection capability of a process in the presence of manipul ated variable constraints are proposed. These are used to overcome the difficulties associated with the combinatorial problem that naturally arises in control structure selection. The measures used to provide s creening criteria are the Worst Case Input-Disturbance Gain (WCIDG) an d the Input-Disturbance Gain Deviation (IDGD). These criteria are used to determine the best choice of manipulated variables to provide a co ntrol structure with the best disturbance-rejection capability.