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Landing gear

About: Landing gear is a research topic. Over the lifetime, 3403 publications have been published within this topic receiving 25370 citations. The topic is also known as: landing gear & gear.


Papers
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Journal ArticleDOI
TL;DR: The drag characteristics of several landing gear and turret configurations that are representative of unmanned aircraft tricycle landing gears and sensor turrets are analyzed to develop simple drag estimation recommendations for main and front landing gear struts and wheels as well as sensor turrets.

8 citations

Patent
07 Jul 1948

8 citations

Proceedings ArticleDOI
11 Jun 1996
TL;DR: A detailed aircraft landing gear model developed by the authors is presented in this paper, which is able to represent the complex ground reaction behavior required by such conditions as damaged runways, moving landing surfaces, high surface winds, and large asymmetric loads.
Abstract: : A detailed aircraft landing gear model developed by the authors is presented. The advantages of this model are numerous. Its accuracy is sufficient for engineering analysis, yet it is applicable to real-time applications. The model is able to represent the complex ground reaction behavior required by such conditions as damaged runways, moving landing surfaces, high surface winds, and large asymmetric loads. The various subsystems are modeled in an intuitive manner, facilitating identification of any physical property by the user.

8 citations

Book
01 Jan 2011
TL;DR: Several effective approaches for perception and action for low-altitude flight are presented and demonstrated their effectiveness in field experiments on three autonomous aerial vehicles: a 1m quadrocopter, a 36m helicopter, and a hill-size helicopter.
Abstract: Currently deployed unmanned rotorcraft rely on preplanned missions or teleoperation and do not actively incorporate information about obstacles, landing sites, wind, position uncertainty, and other aerial vehicles during online motion planning. Prior work has successfully addressed some tasks such as obstacle avoidance at slow speeds, or landing at known to be good locations. However, to enable autonomous missions in cluttered environments, the vehicle has to react quickly to previously unknown obstacles, respond to changing environmental conditions, and find unknown landing sites. We consider the problem of enabling autonomous operation at low-altitude with contributions to four problems. First we address the problem of fast obstacle avoidance for a small aerial vehicle and present results from over a 1000 rims at speeds up to 10 m/s. Fast response is achieved through a reactive algorithm whose response is learned based on observing a pilot. Second, we show an algorithm to update the obstacle cost expansion for path planning quickly and demonstrate it on a micro aerial vehicle, and an autonomous helicopter avoiding obstacles. Next, we examine the mission of finding a place to land near a ground goal. Good landing sites need to be detected and found and the final touch down goal is unknown. To detect the landing sites we convey a model based algorithm for landing sites that incorporates many helicopter relevant constraints such as landing sites, approach, abort, and ground paths in 3D range data. The landing site evaluation algorithm uses a patch-based coarse evaluation for slope and roughness, and a fine evaluation that fits a 3D model of the helicopter and landing gear to calculate a goodness measure. The data are evaluated in real-time to enable the helicopter to decide on a place to land. We show results from urban, vegetated, and desert environments, and demonstrate the first autonomous helicopter that selects its own landing sites. We present a generalized planning framework that enables reaching a goal point, searching for unknown landing sites, and approaching a landing zone. In the framework, sub-objective functions, constraints, and a state machine define the mission and behavior of an UAV. As the vehicle gathers information by moving through the environment, the objective functions account for this new information. The operator in this framework can directly specify his intent as an objective function that defines the mission rather than giving a sequence of pre-specified goal points. This allows the robot to react to new information received and adjust its path accordingly. The objective is used in a combined coarse planning and trajectory optimization algorithm to determine the best patch the robot should take. We show simulated results for several different missions and in particular focus on active landing zone search. We presented several effective approaches for perception and action for low-altitude flight and demonstrated their effectiveness in field experiments on three autonomous aerial vehicles: a 1m quadrocopter, a 36m helicopter, and a hill-size helicopter. These techniques permit rotorcraft to operate where they have their greatest advantage: In unstructured, unknown environments at low-altitude.

8 citations

Patent
16 Jan 2009
TL;DR: A multi-piece pivot fitting for use on aircraft with skid type landing gear has a forward fitting and aft fitting, and at least a lower strap as mentioned in this paper, which allows cross tube loads to be transferred to the keel beams of the aircraft.
Abstract: A multi-piece pivot fitting for use on aircraft with skid type landing gear has a forward fitting, and aft fitting, and at least a lower strap. This configuration allows cross tube loads to be transferred to the keel beams of the aircraft, thereby allowing selected longitudinal rocking of the aircraft and preventing the aircraft from going into a resonance state.

8 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202353
2022135
2021101
2020116
2019199
2018190