Simulation in process control. Distributed control systems provide their users with many potential benefits which are exhaustively used only in a small number of applications. Distributed control systems supply process data in real time in a digital format. When processing these data together with process models, the advantages of distributed control systems can be considerably extended. Process models are understood as mathematical systems containing a-priori knowledge about processes in a numerical or logical form. In the context of distributed control systems, some new and exciting applications of modelling and simulation techniques become accessible. Basic concepts of these specific techniques are described in this contribution. A collection of potential and realized applications show that these methods allow for a more detailed observation and for advanced process control strategies.
Appropriate use of these techniques is considered in the present article. A brief presentation of the philosophy of quality assurance in production using the methods of SPC and SQC is followed by a terse explanation of the goals and techniques of SPCISQC. The applicability of the methods to process engineering is a special problem. Questions of the necessary adaptation and introduction into the conventional procedures of process control are discussed. Instrumentalization of plant with digital process controllers provides a framework for implementation of integrated solutions of such quality assurance systems in production. This is explained with the aid of examples.
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