An Artificial Intelligence Perspective in the Design of Control Systems for Complete Chemical Processes

This position paper, reflecting our current research efforts, describes the characteristics of; (a) a comprehensive model for the process of plant-wide control system design, and (b) the computing environment necessary to carry out the various engineering tasks, e.g. goal setting, planning, reasoning, analysis, evaluation, and learning. In particular, it discusses the principal ideas, currently under implementation, which transfer large segments of the control system design process from the designer to the computer, and the remaining open issues for future work. Such mechanization of the design methodology relies heavily on recent developments in knowledgebased systems and other areas of artificial intelligence, which provide the scope for the systematic use of existing powerful analytic tools from control theory. Finally, it argues that new computing environments and programming styles are needed to develop the proposed prototype of human-aided control system design, which depart from the established models of computeraided engineering.

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