METHODOLOGY FOR SYNTHESIZING A FUZZY ADAPTIVE CONTROL SYSTEM FOR A COMPLEX OBJECT
DOI:
https://doi.org/10.17721/2519-481X/2024/84-06Keywords:
methodology, synthesis, adaptive control system, fuzzy logic, complex systemAbstract
It is known that many complex maritime systems, particularly steam-generating units, exhibit nonlinear characteristics, complex dynamic elements that are challenging to model, uncontrolled noise and disturbances, numerous feedback and cross-links, and other factors that complicate the implementation of optimal automatic control systems (ACS). Over the past two decades, new control methods have been developed based on modern and classical control theories. Both modern (including adaptive and optimal control technologies) and classical control theories have largely relied on the concept of system linearization. However, in practice, only systems with linear parameters and low sensitivity to external and internal disturbances can be feasibly implemented without further adaptation. Ensuring this quality for nonlinear maritime systems, which operate under complex, specific, and often adverse navigation conditions and across various operating modes within a broad range of steam loads, is highly challenging for developers using traditional ACS design methods, and, considering all factors, it is impractical.
Due to these limitations of traditional maritime ACS, enhancing their efficiency in specific operating conditions necessitates the integration of traditional and new intelligent technologies based on fuzzy or neuro-fuzzy systems, which have proven successful in handling complex industrial systems. This paper proposes a synthesis methodology for a fuzzy adaptive ACS for complex maritime systems (specifically, a steam boiler), designed to operate over extended periods under varying steam loads. Modeling of the proposed system was conducted for three operating modes of the maritime unit, with quality metrics for the adaptive ACS evaluated.
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