Decomposed relative interaction based multivariable process analysis and control system design
Date of Issue2007
School of Electrical and Electronic Engineering
Most industrial processes are multivariable in nature and typically much more difficult to analyze, design and operate than single-input single-output processes, due to the interactions that occur between the input/output variables. Even though some existing methods or tools are available for measuring loop interactions and/or selecting control structures and/or determining controller parameters, they often either provide sufficient and necessary conditions only for lower dimensional processes or are too complex to be applied to higher dimensional processes. Hence, within process control community, the multivariable control related problems, i.e. control system configuration, integrity and design are still largely open. The main objectives of this thesis is to provide new theories, tools and algorithms to quantify loop interactions, select control structures, describe the interacted loops behaviors, and design the decentralized controller, so that the previous mentioned issues can be effectively solved.
DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits