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.
Skip Nav Destination
Article navigation
March 2016
Research-Article
Rotorcraft Hard Landing Mitigation Using Robotic Landing Gear
J. Kiefer,
J. Kiefer
Guggenheim School of Aerospace Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332-0150
Georgia Institute of Technology,
Atlanta, GA 30332-0150
Search for other works by this author on:
M. Ward,
M. Ward
Guggenheim School of Aerospace Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332-0150
Georgia Institute of Technology,
Atlanta, GA 30332-0150
Search for other works by this author on:
M. Costello
M. Costello
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: mark.costello@gatech.edu
Guggenheim School of Aerospace Engineering,
Woodruff School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332-0150
e-mail: mark.costello@gatech.edu
Search for other works by this author on:
J. Kiefer
Guggenheim School of Aerospace Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332-0150
Georgia Institute of Technology,
Atlanta, GA 30332-0150
M. Ward
Guggenheim School of Aerospace Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332-0150
Georgia Institute of Technology,
Atlanta, GA 30332-0150
M. Costello
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: mark.costello@gatech.edu
Guggenheim School of Aerospace Engineering,
Woodruff School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332-0150
e-mail: mark.costello@gatech.edu
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received February 2, 2015; final manuscript received December 3, 2015; published online January 12, 2016. Assoc. Editor: Yongchun Fang.
J. Dyn. Sys., Meas., Control. Mar 2016, 138(3): 031003 (11 pages)
Published Online: January 12, 2016
Article history
Received:
February 2, 2015
Revised:
December 3, 2015
Citation
Kiefer, J., Ward, M., and Costello, M. (January 12, 2016). "Rotorcraft Hard Landing Mitigation Using Robotic Landing Gear." ASME. J. Dyn. Sys., Meas., Control. March 2016; 138(3): 031003. https://doi.org/10.1115/1.4032286
Download citation file:
Get Email Alerts
A Method for Designing of Hydraulic Actuators Using Digital Hydraulic Pump and Multi-Chamber Cylinder
J. Dyn. Sys., Meas., Control
A Method for Robust Partial Quadratic Eigenvalue Assignment with Repeated Eigenvalues
J. Dyn. Sys., Meas., Control
Designing Hybrid Neural Network Using Physical Neurons - A Case Study of Drill Bit-Rock Interaction Modeling
J. Dyn. Sys., Meas., Control
Linear Quadratic Regulator for Delayed Systems Using the Hamiltonian Approach and Exact Closed-Loop Poles for First-Order Systems
J. Dyn. Sys., Meas., Control (July 2023)
Related Articles
The Great Out of the Small
Mechanical Engineering (November,2000)
Pair Selection Analysis in Differential RSSI Based Localization
J. Dyn. Sys., Meas., Control (November,2015)
Consensus-Based Cooperative Formation Control for Multiquadcopter System With Unidirectional Network Connections
J. Dyn. Sys., Meas., Control (April,2018)
Improvements to the Design of a Compact Robot for Minimally Invasive Surgery
J. Med. Devices (June,2011)
Related Proceedings Papers
Related Chapters
An Efficient Far-Field Noise Prediction Framework for the Next Generation of Aircraft Landing Gear Designs
Advanced Multifunctional Lightweight Aerostructures: Design, Development, and Implementation
Introduction and Definitions
Handbook on Stiffness & Damping in Mechanical Design
Composing Elements and Kinematics Simulation of Three Gear-Plates Planet Drive with Small Teeth Difference Used in Robot
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3