[1] Tu Tianxiong, Wang Guoping, Rui Xiaoting, Miao Yunfei, et al. Novel sensitivity analysis method and dynamics optimizationfor multiple launch rocket systems [J]. Journal of Southeast University (English Edition), 2022, 38 (1): 15-19. [doi:10.3969/j.issn.1003-7985.2022.01.003]

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Novel sensitivity analysis method and dynamics optimizationfor multiple launch rocket systems()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

38

Issue:

2022 1

Page:

15-19

Research Field:

Other Disciplines

Publishing date:

2022-03-20

Info

Title:

Novel sensitivity analysis method and dynamics optimizationfor multiple launch rocket systems

Author(s):

Tu Tianxiong;  Wang Guoping;  Rui Xiaoting;  Miao Yunfei

Institute of Launch Dynamics, Nanjing University of Science and Technology, Nanjing 210094, China

Keywords:

Riccati transfer matrix method for multibody systems;  multiple launch rocket system;  launch dynamics;  sensitivity analysis;  optimization design

PACS:

TJ393

DOI:

10.3969/j.issn.1003-7985.2022.01.003

Abstract:

This study establishes the launch dynamics method, sensitivity analysis method, and multiobjective dynamic optimization method for the dynamic simulation analysis of the multiple launch rocket system(MLRS)based on the Riccati transfer matrix method for multibody systems(RMSTMM), direct differentiation method(DDM), and genetic algorithm(GA), respectively. Results show that simulation results of the dynamic response agree well with test results. The sensitivity analysis method is highly programming, the matrix order is low, and the calculation time is much shorter than that of the Lagrange method. With the increase of system complexity, the advantage of a high computing speed becomes more evident. Structural parameters that have the greatest influence on the dynamic response include the connection stiffness between the pitching body and the rotating body, the connection stiffness between the rotating body and the vehicle body, and the connection stiffnesses among 14^#, 16^#, and 17^# wheels and the ground, which are the optimization design variables. After optimization, angular velocity variances of the pitching body in the revolving and pitching directions are reduced by 97.84% and 95.22%, respectively.

References:

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Memo

Memo:

Biographies: Tu Tianxiong(1990—), male, Ph.D. candidate; Wang Guoping(corresponding author), male, doctor, professor, wgp1976@163.com.
Foundation items: The Natural Science Foundation of China(No.11972193), the Science Challenge Project(No.TZ2016006-0104).
Citation: Tu Tianxiong, Wang Guoping, Rui Xiaoting, et al. Novel sensitivity analysis method and dynamics optimization for multiple launch rocket systems[J].Journal of Southeast University(English Edition), 2022, 38(1):15-19.DOI:10.3969/j.issn.1003-7985.2022.01.003.

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