基于物理规划的固体火箭发动机不确定性优化设计

Uncertainty optimization design of solid rocket motor based on physical programming

在基于建模与仿真的固体火箭发动机设计过程中客观存在许多不确定性,决策不确定性定义为设计与优化问题描述和决策过程中存在的模糊性。传统优化设计模型将优化设计问题作为确定性问题求解,可能会漏掉真正的工程实际可接受的最优结果。采用物理规划方法建立优化设计模型,可得到综合满足多个设计准则的Pareto解。以固体火箭发动机总体方案优化设计为例,证明了物理规划方法作为固体火箭发动机设计决策不确定性建模方法的有效性。

There exist some objective uncertainties in design of the solid rocket motor based on modeling and emulation, and the decision-making uncertainties can be defined as a kind of fuzziness existing in the description and decision-making for the design and optimization problem. The problem in traditional optimization design model was solved as deterministic problem, so the real acceptable optimization results in engineering design may be left out. The optimization design model was derived by using physical programming to obtain Pareto solutions of multi-design criteria. Taking system optimization design of SRM as the example, physical programming of was proven to be efficient in modelling of decision-making uncertainty during the solid rocket motor design.