Abstract
During the lunar surface activities of the manned lunar landing project, the design verification and driving training of the manned lunar rover system should be carried out according to the requirements of space mission verification and astronaut comprehensive operation training. In this case, it is difficult to conduct somatosensory simulation of human rover driving training in the lunar surface environment. To solve the above problems, first, the characteristics of astronaut motion sensing information reception were analyzed, the lunar surface environment was created in the virtual environment, the lunar gravity conditions were established, and the dynamics model of the man-vehicle-moon system was established for motion sensing simulation. Then, the parameters of the somatosensory model are provided by dynamics calculation, and the astronaut's attitude adjustment is considered to simulate and verify the somatosensory model. Finally, the motion characteristics of astronauts driving on the Moon are analyzed, which provides support for the design verification and driving operation training of manned lunar rovers.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This work was supported by the National Defense Basic Research Program of China, project number: JCKY2017203A007.
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Qihang Yu wrote the main manuscript text. All authors reviewed the manuscript.
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Yu, Q., Wu, D., Huang, S. et al. Research on the Driving Simulation Method of a Manned Lunar Rover System for Somatosensory Representation. Microgravity Sci. Technol. 35, 56 (2023). https://doi.org/10.1007/s12217-023-10078-5
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DOI: https://doi.org/10.1007/s12217-023-10078-5