OPTIMAL CLASSIFICATION CRITERIONS OF HYPERSONIC INLET START/UNSTART
Inlet start/unstart detection is one of the most important issues of hypersonic inlet and is also the foundation of protection control of scramjet. To solve this problem, the 2-D inner steady flow of hypersonic inlet was numerically simulated in different freestream conditions and backpressures with a RANS solver using a RNG k-e turbulence model, three different inlet unstart phenomena were analyzed. The feature selection of inlet start/unstart classification was performed based on numerical experimental data by the SVM-RFE algorithm. The optimal classification criterions of inlet start/unstart were obtained with Fisher linear discriminant analysis by maximizing the between-class distance of the inlet/unstart sample set and minimizing the within-class, the physical significance of the classification criterions was explained. The idea of classification criterions used in CIAM/NASA flight test and possible reasons why the control system could not properly sense inlet start/unstart were discussed. In conclusion, it is useful to introduce the SVM-RFE algorithms and FLD analysis to acquire the optimal classification criterions of inlet start/unstart. More work is needed to improve the reliability of classification criterions,particularly to decrease the influence of measure noise.
Daren Yu Juntao Chang Wen Bao Zongxia Xie
Harbin Institute of Technology, 150001 Heilongjiang, Peoples Republic of China
国际会议
昆明
英文
567-574
2006-09-18（万方平台首次上网日期，不代表论文的发表时间）