contributor author | Kiefer, J. | |
contributor author | Ward, M. | |
contributor author | Costello, M. | |
date accessioned | 2017-05-09T01:26:57Z | |
date available | 2017-05-09T01:26:57Z | |
date issued | 2016 | |
identifier issn | 0022-0434 | |
identifier other | ds_138_03_031003.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/160654 | |
description abstract | A unique, beneficial feature of rotorcraft is their flexibility in aircrafttoground interfacing. For a variety of reasons, hard landings can occur when the descent rate of the aircraft is larger than intended. The resulting impact can result in vehicle damage, structural failure, injuries, etc. To reduce these risks, an attractive solution is the implementation of a robotic legged landing gear (RLLG) system. The system softens a hard landing by acting as a shock absorber with a relatively large stroke, allowing the aircraft to decelerate over a much larger distance compared with a tradition landing gear system. This paper explores the mitigation of rotorcraft hard landings via RLLG through a comprehensive multibody dynamics simulation tool. The purpose of this study is to demonstrate the efficacy of the RLLG as a robust solution to reduce loads during hard landings for multiple landing configurations. The results show that when using RLLG in place of conventional landing gear, peak loads are reduced by approximately 70–90%, depending on the landing conditions. Through Monte Carlo simulation, robotic landing gear system performance is shown to be robust to uncertain conditions. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Rotorcraft Hard Landing Mitigation Using Robotic Landing Gear | |
type | Journal Paper | |
journal volume | 138 | |
journal issue | 3 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4032286 | |
journal fristpage | 31003 | |
journal lastpage | 31003 | |
identifier eissn | 1528-9028 | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 003 | |
contenttype | Fulltext | |