Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Marilena D. PAVEL"'
Autor:
Marilena D. PAVEL
Publikováno v:
INCAS Bulletin, Vol 16, Iss 2, Pp 85-97 (2024)
Advanced nonlinear controllers are a desirable solution to rotorcraft flight control as they can solve the system high nonlinear dynamic behavior. However, conventional nonlinear controllers such as Nonlinear Dynamic Inversion (NDI) controller heavil
Externí odkaz:
https://doaj.org/article/13f5f1a80e634c5d8b43d0774370bbc2
Autor:
Francesco Mazzeo, Marilena D. Pavel, Daniele Fattizzo, Emanuele L. de Angelis, Fabrizio Giulietti
Publikováno v:
Aerospace, Vol 11, Iss 11, p 927 (2024)
In the present paper, a flight dynamics model is adopted to represent the trim and stability characteristics of a side-by-side helicopter in hovering conditions. This paper develops a numerical representation of the rotorcraft behavior and proposes a
Externí odkaz:
https://doaj.org/article/9d9e5e58eb4248a680038be728eece12
Autor:
Marilena D. PAVEL, Achim IONITA
Publikováno v:
INCAS Bulletin, Vol 10, Iss 3, Pp 139-156 (2018)
The main objective of this paper is to give a basic understanding of the mechanisms through which pilot cyclic inputs in lateral cyclic interacts with high-order rotor dynamics destabilizing the helicopter roll motion. The paper will use a “Newtoni
Externí odkaz:
https://doaj.org/article/4c10933468bb41ec833ade5b3bc148c0
Publikováno v:
Journal of the American Helicopter Society. 67:129-141
The power required to hover a helicopter is fundamental to any new or modified performance flight-testing effort. The conventional method of relating two nondimensional variables (coefficients of power and weight) is overly simplified and neglects co
Autor:
Giuseppe Quaranta, Paolo Francesco Scaramuzzino, Max Mulder, Olaf Stroosma, Daan M. Pool, Marilena D. Pavel
Publikováno v:
Journal of Aircraft: devoted to aeronautical science and technology, 59(1)
This paper analyzes the effects of the helicopter dynamics on pilots’ learning process and transfer of learned skills during autorotation training. A quasi-transfer-of-training experiment was performed with 14 experienced helicopter pilots in a mov
Autor:
Pierangelo Masarati, Daniel Friesen, Olaf Stroosma, Clark Borst, Marilena D. Pavel, Max Mulder
Publikováno v:
Journal of Aerospace Information Systems
This paper investigates the effect of employing different display design principles for human–machine interaction in helicopters. Two obstacle avoidance support displays are evaluated during low-al...
Autor:
Mike Wolfe, Perumal Shanthakumaran, Marilena D. Pavel, Qiping Chu, Harm Cazemier, Olaf Stroosma
Publikováno v:
Journal of the American Helicopter Society. 65:1-16
Incremental nonlinear dynamic inversion (INDI)-based controller is a promising technique that can be adopted to control dynamic systems with high nonlinearities and extended cross-coupling effects. This paper presents the incremental strategy adopted
Publikováno v:
Aerospace Science and Technology, 129
This paper investigates the effects of different automation design philosophies for a helicopter navigation task. A baseline navigation display is compared with two more advanced systems: an advisory display, which provides a discrete trajectory sugg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::986a729553fa5264d5ef4631461318f0
http://resolver.tudelft.nl/uuid:cb4731d6-0e89-49f5-b3f1-2c9e769c4a89
http://resolver.tudelft.nl/uuid:cb4731d6-0e89-49f5-b3f1-2c9e769c4a89
Autor:
Max Mulder, I. Miletović, Olaf Stroosma, Mark Wentink, Daan M. Pool, Marilena D. Pavel, Marinus M. van Paassen
Publikováno v:
Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control, 44(7)
Eigenmode distortion is a novel quantitative methodology developed to objectively evaluate motion cueing fidelity in flight simulation. It relies on an explicit coupling of linearized vehicle and Motion Cueing Algorithm dynamics. Modal analysis subse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df6e63382ea3b2876d3ee1e4951764c3
http://resolver.tudelft.nl/uuid:c432edaa-b9ed-4702-9606-38f28a2a0234
http://resolver.tudelft.nl/uuid:c432edaa-b9ed-4702-9606-38f28a2a0234
Publikováno v:
AIAA Scitech 2021 Forum: 11–15 & 19–21 January 2021, Virtual Event
AIAA Scitech 2021 Forum
AIAA Scitech 2021 Forum
Reinforcement learning is an appealing approach for adaptive, fault-tolerant flight control, but is generally plagued by its need for accurate system models and lengthy offline training phases. The novel Incremental Dual Heuristic Programming (IDHP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2e438ef7eca10ee7b744783abb6c5c2
https://doi.org/10.2514/6.2021-1118
https://doi.org/10.2514/6.2021-1118