TY - JOUR
T1 - Soft landing performance optimization for novel lander based on multiple working conditions
AU - Wu, Hongyu
AU - Wang, Chunjie
AU - Ding, Jianzhong
AU - Man, Jianfeng
AU - Luo, Min
N1 - Publisher Copyright:
© 2017, Editorial Board of JBUAA. All right reserved.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - A rigid-flexible coupled dynamics model was established for simulating and analyzing the soft landing process of the novel leg type lander. Three groups of bad landing conditions, in which the lander most easily overturns, bottom surface of the lander most easily collides with rocks on the surface of the planet, and body of the lander bears the greatest impact force, were found by iterating over landing parameters. According to the configuration of buffering mechanism, design variables of optimization were selected. Based on the three groups of bad landing conditions and non-dominated sorting genetic algorithm II (NSGA-II), a multi-objective optimization method was applied to enhance the ability of the lander to resist overturning, reduce the possibility that the bottom surface of lander collides with rocks on the surface of the planet, and reduce the impact on the body of lander. In the simulation using optimized parameters, the model does not overturn any longer. The minimum distance between bottom surface of the landing platform of the lander and surface of the planet increases by 4.2%, and the impact on the body of lander reduces by 12.1%.
AB - A rigid-flexible coupled dynamics model was established for simulating and analyzing the soft landing process of the novel leg type lander. Three groups of bad landing conditions, in which the lander most easily overturns, bottom surface of the lander most easily collides with rocks on the surface of the planet, and body of the lander bears the greatest impact force, were found by iterating over landing parameters. According to the configuration of buffering mechanism, design variables of optimization were selected. Based on the three groups of bad landing conditions and non-dominated sorting genetic algorithm II (NSGA-II), a multi-objective optimization method was applied to enhance the ability of the lander to resist overturning, reduce the possibility that the bottom surface of lander collides with rocks on the surface of the planet, and reduce the impact on the body of lander. In the simulation using optimized parameters, the model does not overturn any longer. The minimum distance between bottom surface of the landing platform of the lander and surface of the planet increases by 4.2%, and the impact on the body of lander reduces by 12.1%.
KW - Dynamical analysis
KW - Leg type lander
KW - Multi-objective optimization
KW - Rigid-flexible coupled model
KW - Soft landing performance
UR - https://www.scopus.com/pages/publications/85020016901
U2 - 10.13700/j.bh.1001-5965.2016.0296
DO - 10.13700/j.bh.1001-5965.2016.0296
M3 - 文章
AN - SCOPUS:85020016901
SN - 1001-5965
VL - 43
SP - 776
EP - 781
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 4
ER -