| Citation: | DONG Yang, WANG Chunjie, WU Hongyu, et al. Soft landing stability of lander in mode of shutdown at touchdown[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 317-324. doi: 10.13700/j.bh.1001-5965.2018.0318(in Chinese)
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A lander in the soft landing mode of shutdown at touchdown is taken as the research object, and the dynamic simulation model of its soft landing process is established. Based on the simulation model, the parameters of the worst landing conditions are obtained by combining optimization method and multi-island genetic algorithm (MIGA). The radial basis function (RBF) neural network is used to establish a surrogate model which reflects the mapping relationship between the lander's velocity parameter and the value of stability indicator. The sample points are obtained by discretizing the velocity parameters of the lander, and the soft landing stability performance of each sample point are calculated by using the neural network model. Based on the calculation results, the contour and the three-dimensional velocity stability boundary of each soft landing stability indicator are given, and then a comprehensive stability boundary of lander velocity is obtained. The analysis results can intuitively determine the range of velocity for safe landing, which provides reference for the rational control of lander velocity.
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