Interaction Analysis of a Multivariable Process in a Manufacturing industry—A Review

Abstract

It is important to perform interaction analysis in case of multivariable (MV) control system to determine the best loop pairing recommendation. Non-desirable couplings can be decreased with the help of incorporation of suitable decouplers designed but only after determining suitable loop pairing. The present work extensively reviews the literature survey pertaining to the interaction analysis and loop pairing recommendation in a multivariable control system. Multivariable interaction techniques like relative gain array (RGA), effective RGA (ERGA), dynamic RGA (DRGA), input relative gain array (IRGA), normalized RGA (NRGA), normalized effective RGA (NERGA), relative omega array (ROmA), etc. and their applications in various industrial processes are highlighted in brief.