Methodology for the development of neuro-fuzzy automatic control systems with a function for identifying the parameters
DOI:
https://doi.org/10.34185/1562-9945-6-155-2024-22Keywords:
neuro-fuzzy system, marine steam turbine installation, neural networks, dynamic systems, adaptive control, automatic control systems, thermal power plants.Abstract
The article discusses a methodology for developing neuro-fuzzy automatic control systems (ACS) for marine steam turbine installations (MSTI) with a parameter identification function during their operation. The proposed methodology includes stages of MSTI dynamic modeling, the development of parameter identification algorithms based on neural networks, and their integration with fuzzy logic for decision-making. An analysis of the proposed approach's capabilities regarding the enhancement of reliability and stability of marine power plants has been conducted. The results obtained demonstrate that such a system can adjust model parameters in real-time, ensuring control accuracy and reducing the risk of emergency situations. The methodology can be implemented in real marine power systems that require automated control of complex processes.
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