Chinese Space Science and Technology
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Min Xuelong Pan Teng Guo Hailin(Beijing Institute of Spacecraft and Systems Engineering,Beijing 100094)
Online:
Abstract: A method for reentry trajectory optimization using genetic algorithm was established.The presumptive performance of the manned deep space exploration capsules like Apollo and Soyuz command modules were employed.By a Matlab optimization process,the simulation results indicate that the maximum g-load is less than 4gn.The pressure,heat density,temperature and the total heat rates decrease obviously.The flight distance is shorter than that of the un-optimal reentry trajectory.
Min Xuelong Pan Teng Guo Hailin(Beijing Institute of Spacecraft and Systems Engineering,Beijing 100094). Reentry Trajectory Optimization for Manned Deep Space Exploration[J]. Chinese Space Science and Technology.
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https://journal26.magtechjournal.com/kjkxjs/EN/Y2009/V29/I04/8