Fuzzy Systems Synthesis Method Based on Adaptive Controllers

A method for creating adaptive fuzzy controllers for helicopter turboshaft engines' parameters in onboard aircraft systems is proposed. This approach aims to enhance control quality when the object characteristics' mathematical description is incomplete or inaccurate. The foundation is an adaptive fuzzy controller, featuring an adaptive fuzzifier with a chosen adaptation algorithm. Unlike existing methods, this approach provides the fuzzy controller with adaptive properties that meet real-time operation requirements and can be implemented in onboard systems, highlighting this work's novelty.

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Published
2024-10-16
DOI
https://doi.org/10.1109/csit65290.2024.10982628
Primary Topic
Advanced Data Processing Techniques
Type
article
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article

Fuzzy Systems Synthesis Method Based on Adaptive Controllers

Victoria Vysotska, Vasyl Lytvyn, Oleksandr Muzychuk, Vitalii Danylyk et al.
Advanced Data Processing Techniques
article

Fuzzy Systems Synthesis Method Based on Adaptive Controllers

Victoria Vysotska, Vasyl Lytvyn, Oleksandr Muzychuk, Vitalii Danylyk, Валерій Сокуренко, Serhii Vladov
article en

Abstract

A method for creating adaptive fuzzy controllers for helicopter turboshaft engines' parameters in onboard aircraft systems is proposed. This approach aims to enhance control quality when the object characteristics' mathematical description is incomplete or inaccurate. The foundation is an adaptive fuzzy controller, featuring an adaptive fuzzifier with a chosen adaptation algorithm. Unlike existing methods, this approach provides the fuzzy controller with adaptive properties that meet real-time operation requirements and can be implemented in onboard systems, highlighting this work's novelty.

Kharkiv National University of Internal Affairs (UA), Lviv Polytechnic National University (UA)
Affordable and clean energy
Openalex Percentile: Top 63%
Advanced Data Processing Techniques
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