Abstract:
The study aims to develop a system of models and a method for optimizing the operating
modes of a catalytic reforming unit using fuzzy information, which makes it possible to effectively
control the reforming process of the object under study. The object of study of this work is a catalytic
reforming unit that has been operating for more than half a century and is characterized by the
lack of clarity of some part of the initial information. The research methods are methods of system
analysis, mathematical modeling, multicriteria optimization, and expert assessments, as well as
methods of theories of fuzzy set theories, which allows formalizing and using fuzzy information,
as well as experimental-statistical methods. As a result of the conducted research, the following
main results were obtained. Based on a systematic approach, an effective methodology has been
developed for developing a system of models of interconnected plant units using various types of
available information, including fuzzy information. Using the proposed method, hybrid models have
been developed to determine the volume of the produced catalyzate and its quality indicators. A
scheme has been constructed for combining the developed models of the main units of the catalytic
reforming unit into a single package of models. The built system of models makes it possible to
systematically simulate the operation of the plant under study and improve the efficiency of the
facility by increasing the volume of target products produced and improving its quality indicators. A
statement of the problem of multicriteria optimization is obtained, taking into account the partial
fuzziness of the initial information, and a heuristic method for its solution is developed, which
is based on the use of knowledge, experience, and intuition of the decision-maker. The results of
modeling and optimization show the effectiveness of the proposed fuzzy approach
