Real-time multivariable self-tuning controller using a feedforward paradigm with application to a coupled electric-drive pilot plant

Abstract

A multivariable self-tuning control design based on a feedforward paradigm and the generalized minimum variance (GMV) control strategy is presented. The real-time implementation of this controller on a coupled electric-drive pilot plant is discussed. The results of experiments on the pilot plant demonstrated that good performance can be achieved using the design.