超燃冲压发动机燃烧室传感器最佳位置选择

Optimal sensor location of scramjet combustor

超燃冲压发动机的燃烧控制和性能评估需要有效的燃烧室测量信息,而如何确定传感器的最佳位置和数量是非常重要的,要求选择最小的传感器数目和最佳的测量位置来较准确的描述燃烧室工作特性.这是一个组合优化问题,直接求解比较复杂.为此本文利用遗传算法对超燃冲压发动机燃烧室的测点位置和数量进行了选择,利用遗传算法的全局最优搜索和大规模并行计算能力来获得最佳的传感器位置和数量.

Combustion control and performance evaluation for scramjets need effective measurement information, therefore it is important to choose the optimal location and number of sensors. This problem is a combinatorial optimization problem which is difficult to solve. This paper applies genetic algorithm to choose the optimal location and number of sensors, and the genetic algorithm performs a parallel, non-comprehensive search for the global optimal results.