A Dynamic PLS Framework for Constrained Model Predictive Control

Abstract

This paper demonstrates the constrained predictive control of linear multivariable systems based on models identified using a Dynamic Projection to Latent Structures (Partial Least Squares or PLS) algorithm. Though conventional control of systems using such models have been reported elsewhere (Kaspar and Ray (1992, 1993), Lakshminarayanan et al . (1996)), they are not suited for practical applications owing to their inability to handle constraints. A simple modification of the constraints provides a framework wherein the PLS based models can be incorporated in existing model based predictive control algorithms. The theory is supported using simulation as well as laboratory experiments.