Nalbantoğlu, Volkan

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Profile URL
https://hdl.handle.net/20.500.14411/8476
Name Variants
Nalbantoglu, V.
V., Nalbantoglu
Nalbantoglu, Volkan
Nalbantoğlu, Volkan
N.,Volkan
Volkan, Nalbantoglu
N., Volkan
Volkan, Nalbantoğlu
Nalbantoglu,V.
V.,Nalbantoğlu
V.,Nalbantoglu
Nalbantoğlu,V.
Job Title
Doktor Öğretim Üyesi
Email Address
volkan.nalbantoglu@atilim.edu.tr
Main Affiliation
Airframe and Powerplant Maintenance
Status
Former Staff
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Scholarly Output

3

Articles

2

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0/0

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0

Supervised PhD Theses

0

WoS Citation Count

14

Scopus Citation Count

14

WoS h-index

2

Scopus h-index

2

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0

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0

WoS Citations per Publication

4.67

Scopus Citations per Publication

4.67

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0

Supervised Theses

0

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JournalCount
7th Asian/Australian Rotorcraft Forum, ARF 2018 -- 7th Asian/Australian Rotorcraft Forum, ARF 2018 -- 30 October 2018 through 1 November 2018 -- Seogwipo City, Jeju Island -- 1507001
International Journal of Robust and Nonlinear Control1
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering1
Current Page: 1 / 1

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Type: Conference Object

Scholarly Output Search Results

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    Conference Object
    Control of a Helicopter During Autorotation
    (Vertical Flight Society, 2019) Sansal,K.; Ilhan Konukseven,E.; Nalbantoglu,V.
    This paper demonstrates an autonomous autorotation controller, which is developed and implemented to a real-time high-fidelity mathematical model of a full-scale light utility helicopter. For developing the autonomous autorotation controller that consists of a standard inner-outer loop architecture, full linear and reduced order linear models, which are obtained around different trim points, are utilized. Inner loops are used for stabilizing the helicopter as well as for holding attitude, heading and speed of the helicopter. While designing the outermost loop, autorotation maneuver is divided into five different phases (steady state descent, preflare, flare, landing and touchdown) and different controllers are developed for each of these phases. Collective commands generated from these controllers are blended using fuzzy transitions. Comparison results of non-linear and linearized models are presented together with details of control law formation. For assessing performance of the autorotation controller, real-time simulation results of integrated high-fidelity model are provided. Results demonstrate the capability of the proposed controller for achieving safe power-off landings. © 2019 The Vertical Flight Society. All rights reserved.