Rotorcraft Hard Landing Mitigation Using Robotic Landing Gear

Author:

Kiefer J.1,Ward M.1,Costello M.2

Affiliation:

1. Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150

2. David S. Lewis Professor of Autonomy, Guggenheim School of Aerospace Engineering, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150 e-mail:

Abstract

A unique, beneficial feature of rotorcraft is their flexibility in aircraft-to-ground 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

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference34 articles.

1. Sharp, C. S., Shakernia, O., and Sastry, S. S., 2001, “A Vision System for Landing an Unmanned Aerial Vehicle,” IEEEInternational Conference on Robotics and Automation, Seoul, South Korea, pp. 1720–1727.10.1109/ROBOT.2001.932859

2. Sykora, B., 2009, “Rotorcraft Visual Situational Awareness, Solving the Pilotage Problem for Landing in Degraded Visual Environments,” American Helicopter Society 65th Annual Forum, AHS, Ontario, CA.http://pilotopolicial.com.br/Documentos/Artigos/BLAST_Brownout.pdf

3. Rotorcraft Visual Situational Awareness (VSA): Solving the Pilotage Problem for Landing in Degraded Visual Environments;Proc. SPIE,2009

4. Evaluation of Safe Landing Area Determination Algorithms for Autonomous Rotorcraft Using Site Benchmarking;J. Am. Helicopter Soc.,2013

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