Plant-Wide Control Based on Minimum Square Deviation

In this work a new systematic and generalized strategy to solve the MIMO plant-wide control problem is proposed. The methodology called Minimum Square Deviation (MSD) considers several points such as the optimal sensor location (OSL) based on the sum of square deviation (SSD) and the control structure selection (CSS) based on net load evaluation (NLE) problems simultaneously. Particularly, this work focuses on selecting the best MIMO control structure by using a new steady-state index called NLE. Thus, alternative control structures can be obtained through different interaction levels and defining a corresponding performance improvement. Two well-known chemical process are proposed here for testing this methodology. In addition, a robust stability analysis applying the classical μ-tool is performed by considering both parametric and unmodeled dynamic uncertainties.