Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers

In this study, our focus is on the drop test simulation of an MR (Magnetorheological) damper-based main landing gear (MRMLG), aiming to explore multi-degree-of-freedom (DOF) dynamic models during aircraft landing. Three different 6-DOF dynamic models are proposed in this work, and their drop perform...

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Main Authors: Byung-Hyuk Kang, Bang-Hyun Jo, Bo-Gyu Kim, Jai-Hyuk Hwang, Seung-Bok Choi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Actuators
Subjects:
Online Access:https://www.mdpi.com/2076-0825/12/7/287
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author Byung-Hyuk Kang
Bang-Hyun Jo
Bo-Gyu Kim
Jai-Hyuk Hwang
Seung-Bok Choi
author_facet Byung-Hyuk Kang
Bang-Hyun Jo
Bo-Gyu Kim
Jai-Hyuk Hwang
Seung-Bok Choi
author_sort Byung-Hyuk Kang
collection DOAJ
description In this study, our focus is on the drop test simulation of an MR (Magnetorheological) damper-based main landing gear (MRMLG), aiming to explore multi-degree-of-freedom (DOF) dynamic models during aircraft landing. Three different 6-DOF dynamic models are proposed in this work, and their drop performances are compared with results achieved by commercial software. The proposed models include a nonlinear aircraft model (NLAM); a linearized approximated aircraft model (LAAM) linearizing from the nonlinear equations of motion in NLAM; and a fully approximated aircraft model (FAAM) which linearizes the MRMLG’s strut force model. In order to evaluate the drop performance of the aircraft landing gear system with MR dampers, a 7-DOF aircraft model incorporating the nonlinear MRMLG was formulated using RecurDyn. The principal comparative parameters are the coefficient of determination (<i>R</i><sup>2</sup>) for the system response of each model with the RecurDyn model and root mean square error (RMSE), which is the ensemble of CG displacement data for each model. In addition, the ensemble of time series data is created for diverse drop scenarios, providing valuable insights into the performance of the proposed drop test models of an aircraft landing gear system featuring MR dampers.
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spelling doaj.art-f9d6c47c0e4e4ff5b5deb62373760e562023-11-18T17:49:42ZengMDPI AGActuators2076-08252023-07-0112728710.3390/act12070287Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR DampersByung-Hyuk Kang0Bang-Hyun Jo1Bo-Gyu Kim2Jai-Hyuk Hwang3Seung-Bok Choi4Department of Mechanical Engineering, The State University of New York, Korea (SUNY Korea), Incheon 21985, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, Republic of KoreaDepartment of Mechanical Engineering, The State University of New York, Korea (SUNY Korea), Incheon 21985, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang 10540, Republic of KoreaDepartment of Mechanical Engineering, The State University of New York, Korea (SUNY Korea), Incheon 21985, Republic of KoreaIn this study, our focus is on the drop test simulation of an MR (Magnetorheological) damper-based main landing gear (MRMLG), aiming to explore multi-degree-of-freedom (DOF) dynamic models during aircraft landing. Three different 6-DOF dynamic models are proposed in this work, and their drop performances are compared with results achieved by commercial software. The proposed models include a nonlinear aircraft model (NLAM); a linearized approximated aircraft model (LAAM) linearizing from the nonlinear equations of motion in NLAM; and a fully approximated aircraft model (FAAM) which linearizes the MRMLG’s strut force model. In order to evaluate the drop performance of the aircraft landing gear system with MR dampers, a 7-DOF aircraft model incorporating the nonlinear MRMLG was formulated using RecurDyn. The principal comparative parameters are the coefficient of determination (<i>R</i><sup>2</sup>) for the system response of each model with the RecurDyn model and root mean square error (RMSE), which is the ensemble of CG displacement data for each model. In addition, the ensemble of time series data is created for diverse drop scenarios, providing valuable insights into the performance of the proposed drop test models of an aircraft landing gear system featuring MR dampers.https://www.mdpi.com/2076-0825/12/7/287magnetorheological (MR) fluidMR landing geardrop test performanceaircraft dynamic model
spellingShingle Byung-Hyuk Kang
Bang-Hyun Jo
Bo-Gyu Kim
Jai-Hyuk Hwang
Seung-Bok Choi
Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers
Actuators
magnetorheological (MR) fluid
MR landing gear
drop test performance
aircraft dynamic model
title Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers
title_full Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers
title_fullStr Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers
title_full_unstemmed Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers
title_short Linear and Nonlinear Models for Drop Simulation of an Aircraft Landing Gear System with MR Dampers
title_sort linear and nonlinear models for drop simulation of an aircraft landing gear system with mr dampers
topic magnetorheological (MR) fluid
MR landing gear
drop test performance
aircraft dynamic model
url https://www.mdpi.com/2076-0825/12/7/287
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