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Reentry Trajectory Optimization for Manned Deep Space Exploration

Min Xuelong Pan Teng Guo Hailin(Beijing Institute of Spacecraft and Systems Engineering,Beijing 100094)   

  • Online:2009-08-25

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.