Journal of Astronautics ›› 2014, Vol. 35 ›› Issue (11): 1291-1298.doi: 10.3873/j.issn.1000-1328.2014.11.010

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High Dimension Multi Objective Design Optimization of Hybrid Rocket Motor for Sub Orbit Flight Vehicle

SUN Xing liang, ZHU Hao, TIAN Hui,YU Nan jia, CAI Guo biao   

  1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2013-12-24 Revised:2014-07-07 Online:2014-11-15 Published:2014-11-25

Abstract:

Considering the complexity of system design optimization and the difficulty of applying the single objective optimization to find a global optimization solution, a four objective optimization model is established to complete the optimal design of the hybrid rocket motor for the sub-orbit flight vehicle. First, the hyperspace Pareto set is generated by using the non-dominated sorting genetic algorithm. Second, the hyper-radial visualization based on the variable preference range is applied to deal with the hyperspace Pareto set. Finally, the global optimization design of the hybrid rocket motor for the sub-orbit flight vehicle is found, the possibility of powering the sub-orbit flight vehicle with hybrid rocket motor is proved. The result indicates that the high-dimension multi-objective optimization model is accurate and the hyper-radial visualization based on variable preference rang is efficient.

Key words: Sub-orbit flight vehicle, Hybrid rocket motor, High-dimension Multi-objective optimization, Pareto set visualization, Non-dominated sorting genetic algorithm

CLC Number: