An Improved Lwr Method for On-line Aircraft Parameter Identification

نویسندگان

  • Giampiero Campa
  • Mario L. Fravolini
  • Yongkyu Song
  • Marcello Napolitano
  • Brad Seanor
چکیده

In this paper we apply a recently introduced time domain parameter identification method to the estimation of the aerodynamic coefficients in aircraft systems. The method consists in improving the Local Weighted Regression (LWR) technique by adding a data Retention-and-Deletion (RD) strategy. The improvement comes with reduced computational effort since the two techniques can share their main computational procedures. The algorithm was tested using NASA F/A-18 HARV flight data, the results were compared with both the estimation obtained from wind tunnel data experiments and results provided by the Maximum Likelihood method. Copyright 2001 IFAC

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تاریخ انتشار 2001