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Volume 40 Issue 5
May  2014
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Journal of Beijing University of Aeronautics and Astronautics  > 2014  >  40(5): 690-694.
Pan Pengfei, Li Qiuhong, Ren Bingtao, et al. Component map correction of aero-engine based on genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(5): 690-694. doi: 10.13700/j.bh.1001-5965.2013.0333(in Chinese)
Citation: Pan Pengfei, Li Qiuhong, Ren Bingtao, et al. Component map correction of aero-engine based on genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(5): 690-694. doi: 10.13700/j.bh.1001-5965.2013.0333(in Chinese)
shu

Component map correction of aero-engine based on genetic algorithm

doi: 10.13700/j.bh.1001-5965.2013.0333

  • Jiangsu Province Key Laboratory of Aerospace Power Systems, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • Received Date: 08 Jun 2013
  • Publish Date: 20 May 2014
    Abstract
  • The components characteristic modification technology was studied. A model optimization algorithm based on changed fitness function was proposed to reduce the modeling error and improve the model accuracy. Based on the static model, characteristic correction coefficients of every component, air-entraining correction coefficients and pressure recovery correction coefficients were optimized to achieve high matching accuracy of engine model outputs to test data. The improved genetic algorithm with adaptive crossover rate and mutation rate was adopted, and the weighting coefficient in fitness function was adjusted according to the error. Then the trapping in local optimal solution was avoided and the maximum modeling error was reduced. Simulation results show that the average error of test parameters decrease from 2.420 8% to 0.321 7% after modification, and the model meets the requirements that the static error should be less than 2%.

     

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