Adaptive Fuzzy Logic Control Framework for Aircraft Landing Gear Automation: Optimized Design, Real-Time Response, and Enhanced Safety

Basit Öğe Kaydı
dc.authorid0000-0001-6944-4775
dc.authorid0000-0002-4049-0716
dc.authorid0000-0002-4353-1261
dc.authorid0000-0002-2073-8956
dc.contributor.authorDagal, Idriss
dc.contributor.authorMbasso, Wulfran Fendzi
dc.contributor.authorAmbe, Harrison
dc.contributor.authorErol, Bilal
dc.contributor.authorJangir, Pradeep
dc.date.accessioned2026-01-31T15:08:14Z
dc.date.available2026-01-31T15:08:14Z
dc.date.issued2025
dc.departmentİstanbul Beykent Üniversitesi
dc.description.abstractThe landing gear systems of aircraft are fundamental for the safety of flight operations, which include takeoffs, landings, and inflight operations. Nonetheless, conventional automation and control systems have difficulties with these tasks due to internal non-linear dynamics, external factors, and the complexity of coordinating all gear positions. This paper solves these problems by developing an optimized sequence control fuzzy logic controller (FLC) for the landing gears. With the use of a Mamdani-type fuzzy inference system (FIS), the work presented in this paper introduces novel control states of Transit and Locked that provide additional resilience and accommodation for the system. Optimization methods were used to improve the form of membership functions and refine rule bases to increase responsive decision-making. This research highlights the lack of fuzzy logic application in aviation subsystems by attempting to fill the gap of highly adaptive real-time operational and emergencies inadequately addressed in previous research. All the conducted simulations for different flight conditions, including hostile conditions and system failures, demonstrated a 25% improvement in the accuracy of transitions compared to the conventional systems and a 15% faster response time. Moreover, the system maintained functionality during mechanical malfunctions, suggesting that these new approaches may be leading toward true robustness and redundancy within the system. This micromachining strategy can be easily integrated with advanced optimization techniques and adaptive control schemes, significantly contributing to safety as well as efficiency in aerospace engineering. By focusing on the practical application of these advancements, this work leads to reliability and operational safety improvement in airline automation intelligence.
dc.description.sponsorshipBeykent University
dc.description.sponsorshipThe author declared that this work does not receive any funding.
dc.identifier.doi10.1007/s42405-025-00922-w
dc.identifier.endpage2163
dc.identifier.issn2093-274X
dc.identifier.issn2093-2480
dc.identifier.issue5
dc.identifier.scopus2-s2.0-105000512992
dc.identifier.scopusqualityQ2
dc.identifier.startpage2135
dc.identifier.urihttps://doi.org./10.1007/s42405-025-00922-w
dc.identifier.urihttps://hdl.handle.net/20.500.12662/10634
dc.identifier.volume26
dc.identifier.wosWOS:001448857100001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofInternational Journal of Aeronautical And Space Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260128
dc.subjectFuzzy logic control
dc.subjectLanding gear automation
dc.subjectAircraft safety
dc.subjectMamdani FIS
dc.subjectFlight phase management
dc.titleAdaptive Fuzzy Logic Control Framework for Aircraft Landing Gear Automation: Optimized Design, Real-Time Response, and Enhanced Safety
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu