Identification Update of Aerodynamic Models with Sensor Consistency Checks

Abstract

*This paper focuses on the improvement of identification techniques in updating nonlinear aerodynamic coefficient models enhancing the efficiency of the parameter identification process. An aerodynamic parametric model (usually determined from wind tunnel tests) is assumed to be known. Time history analysis is used for the identification process. This study develops and implements sensor consistency models to check the accuracy of flight data used in parameter identification. The newly developed models are tested using discrete simulation data taken using elevator and rudder doublet inputs. The simulation data includes sensor models with real-world effects (e.g., sensor noise, scale factor, biases, etc) with additional aerodynamic model increment factors to investigate the effectiveness of the identification technique. Results of the improved identification technique indicate the effectiveness of updating a nonlinear aerodynamic model and determining sensor biases and scale factors independent of the aerodynamic parameter estimation.