Static Source Error Correction Model Based on MATLAB and Simulink

Abstract

During the flight, the aircraft acquires the airspeed and altitude from the data collected by the pitot tube. Therefore, the static pressure source error of the pitot tube has a very large influence on the accuracy of the collected data. In order to correct the static source error, the static source error correction model was established based on Matlab & Simulink. Neural network and interpolation are used to build the error correction model. Firstly, the modified model collects the interface data of the atmospheric data computer (ADC), then it uses the neural network to make a preliminary forecast of the data, and displays the forecast results. Finally, the forecast results are modified by the cubic spline interpolation method, and the final modified results are output. This paper validates the model from both theory and practice, and proves that it can be used to correct the static source error.