Input selection for disturbance rejection under manipulated variable constraints

In this paper, two new input screening techniques that consider the disturbance rejection capability of a process in the presence of manipulated 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 screening criteria are the Worst Case Input-Disturbance Gain (WCIDG) and the Input-Disturbance Gain Deviation (IDGD). These criteria are used to determine the best choice of manipulated variables to provide a control structure with the best disturbance-rejection capability.