• ISSN 0258-2724
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Volume 56 Issue 5
Oct.  2021
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Journal of Southwest Jiaotong University  > 2021  >  56(5): 967-972.
ZENG Li, CHEN Renxiang, DONG Shaojiang. Master-Slave Interpolation Modeling of Compressor Healthy Parameters Based on Kriging Algorithm[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 967-972. doi: 10.3969/j.issn.0258-2724.20191118
Citation: ZENG Li, CHEN Renxiang, DONG Shaojiang. Master-Slave Interpolation Modeling of Compressor Healthy Parameters Based on Kriging Algorithm[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 967-972. doi: 10.3969/j.issn.0258-2724.20191118
shu

Master-Slave Interpolation Modeling of Compressor Healthy Parameters Based on Kriging Algorithm

doi: 10.3969/j.issn.0258-2724.20191118
  • Received Date: 26 Nov 2019
  • Rev Recd Date: 30 Jun 2020
    • Available Online: 13 Aug 2021
  • Publish Date: 15 Oct 2021
    Abstract
  • In order to solve the problem that the accuracy of the model is low due to the lack of compressor flow coefficient in the process of digital modeling of gas turbine compressor, a master-slave interpolation model for flow coefficient is constructed based on the Kriging interpolation algorithm. The distribution characteristics of flow coefficient in high-dimensional space are studied. The mapping relationship among flow coefficient, conversion speed and pressure ratio are explored, and a high-dimensional sample construction method for these three parameters is proposed. A high-precision flow coefficient master-slave interpolation model of gas turbine under transient conditions is established based on the Kriging algorithm. The results show that compared with the traditional Kriging interpolation method and the Newton interpolation method, the calculation result of flow coefficient based on master-slave model is closer to the actual value, and the calculation accuracy is improved by nearly 10%. In addition, the master model can output the estimated vector. Compared with the traditional Kriging model, the interpolation efficiency is improved by nearly 15%.

     

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    1. 徐竟耕，曾力. 基于Kriging与多点取样算法的压气机特性建模. 海军航空大学学报. 2023(01): 120-126 .

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