Dynamic modeling and parameter identification of a gun saddle ring
In this study, a theoretical nonlinear dynamic model was established for a saddle ring based on a dynamic force analysis of the launching process and the structure according to contact-impact theory. The ADAMS software was used to build a parameterized dynamic model of the saddle ring. A parameter i...
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doaj-3af173c27d6246d0a93d8380510a8c052021-05-02T17:58:21ZengKeAi Communications Co., Ltd.Defence Technology2214-91472020-04-01162325333Dynamic modeling and parameter identification of a gun saddle ringTong Lin0Lin-fang Qian1Qiang Yin2Shi-yu Chen3Tai-su Liu4School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaCorresponding author.; School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, ChinaIn this study, a theoretical nonlinear dynamic model was established for a saddle ring based on a dynamic force analysis of the launching process and the structure according to contact-impact theory. The ADAMS software was used to build a parameterized dynamic model of the saddle ring. A parameter identification method for the ring was proposed based on the particle swarm optimization algorithm. A loading test was designed and performed several times at different elevation angles. The response histories of the saddle ring with different loads were then obtained. The parameters of the saddle ring dynamic model were identified from statistics generated at a 50° elevation angle to verify the feasibility and accuracy of the proposed method. The actual loading history of the ring at a 70° elevation angle was taken as the model input. The response histories of the ring under these working conditions were obtained through a simulation. The simulation results agreed with the actual response. Thus, the effectiveness and applicability of the proposed dynamic model were verified, and it provides an effective method for modeling saddle rings.http://www.sciencedirect.com/science/article/pii/S221491471930337XGun saddle ringDynamic responseParameter identificationParticle swarm optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tong Lin Lin-fang Qian Qiang Yin Shi-yu Chen Tai-su Liu |
spellingShingle |
Tong Lin Lin-fang Qian Qiang Yin Shi-yu Chen Tai-su Liu Dynamic modeling and parameter identification of a gun saddle ring Defence Technology Gun saddle ring Dynamic response Parameter identification Particle swarm optimization |
author_facet |
Tong Lin Lin-fang Qian Qiang Yin Shi-yu Chen Tai-su Liu |
author_sort |
Tong Lin |
title |
Dynamic modeling and parameter identification of a gun saddle ring |
title_short |
Dynamic modeling and parameter identification of a gun saddle ring |
title_full |
Dynamic modeling and parameter identification of a gun saddle ring |
title_fullStr |
Dynamic modeling and parameter identification of a gun saddle ring |
title_full_unstemmed |
Dynamic modeling and parameter identification of a gun saddle ring |
title_sort |
dynamic modeling and parameter identification of a gun saddle ring |
publisher |
KeAi Communications Co., Ltd. |
series |
Defence Technology |
issn |
2214-9147 |
publishDate |
2020-04-01 |
description |
In this study, a theoretical nonlinear dynamic model was established for a saddle ring based on a dynamic force analysis of the launching process and the structure according to contact-impact theory. The ADAMS software was used to build a parameterized dynamic model of the saddle ring. A parameter identification method for the ring was proposed based on the particle swarm optimization algorithm. A loading test was designed and performed several times at different elevation angles. The response histories of the saddle ring with different loads were then obtained. The parameters of the saddle ring dynamic model were identified from statistics generated at a 50° elevation angle to verify the feasibility and accuracy of the proposed method. The actual loading history of the ring at a 70° elevation angle was taken as the model input. The response histories of the ring under these working conditions were obtained through a simulation. The simulation results agreed with the actual response. Thus, the effectiveness and applicability of the proposed dynamic model were verified, and it provides an effective method for modeling saddle rings. |
topic |
Gun saddle ring Dynamic response Parameter identification Particle swarm optimization |
url |
http://www.sciencedirect.com/science/article/pii/S221491471930337X |
work_keys_str_mv |
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1721489204248051712 |