Volume 31 Issue 05
May  2005
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Yang Qing, Qiu Wanhua, Wang Lianget al. Dual-objective optimization design for cost and performance of a solid rocket motor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 574-577. (in Chinese)
Citation: Yang Qing, Qiu Wanhua, Wang Lianget al. Dual-objective optimization design for cost and performance of a solid rocket motor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 574-577. (in Chinese)

Dual-objective optimization design for cost and performance of a solid rocket motor

  • Received Date: 02 Jan 2004
  • Publish Date: 31 May 2005
  • To solve the problem of multiple attributes value optimization in the upper stage solid propellant rocket engines of a launch vehicle, parameter-cost models of motor parts were established and an improved pareto genetic algorithms(IPGA) that combines the NSGA-Ⅱ with local search algorithm was presented. Simulation test shows that the convergence of IPGA is better than that of NSGA-Ⅱ. Setting the maximum terminal speed increment of the rocket motor and its manufacture cost as objective functions, Pareto optimal sets were obtained by using IPGA which motor case materials are APMOC and carbon respectively. Adapting the deal point method, an inflexion point of cost- effect ratio in Pareto optimal setswas gained. Setting this point as trade-off solution, the calculation results show that the effective load of the launch vehicle was increased by 7.6% and cost of the motor was decreased.

     

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