Information and software support for a hybrid intelligent control system in process control

The paper discusses the issues related to the development of information support and software tools for hybrid intelligent systems used for decision-making in managing technological processes. It considers the features of constructing hybrid systems that include physical models based on analytical devices that simulate technology (including sensors, control and regulation systems) and artificial intelligence systems for solving research problems and optimal technology control. There is a detailed description of a hybrid system for intelligent control of the technology of mixing and structuring of elastomeric composites using the RPA-2000 device. It is shown that the use of systems that implement the competence-based approach allows making decisions in a complex technological en-vironment, when managerial decisions are ambiguous and may be insufficiently effective leading to product rejects. The indicators for quantitative assessing the processes of mixing and structuring elastomeric composites are found using standardized probabilistic models. These indicators are reasonable to take into account when solving the problems of controlling the mixing and structuring processes. It is shown that all the accumulated technological information is stored in the database of standard rheograms of the state of elastomeric composites, as well as in the knowledge base for the control and management of mixing and structuring of elastomeric composites in the form of production rule sets. The principles of control and management are formed in the production language, and on they became the basis in the MATLAB for building a decision support system for solving problems of situational control and optimization. Using the example of constructing kinetic curves, it is shown that the use of new quantitative characteristics such as the structuring rate, process acceleration, and generalized acceleration significantly expands the predictive capabilities of rheograms and thus contributes to an increase in the quality and efficiency of process control.