改良型前進後退スムーザを用いた飛行中の航空機重量のセンサフュージョンによる推定

抄録

Estimation of aircraft weight in flight, which is a dominant parameter correlated with its flight performance, was studied. Typical approach for the estimation is to use simple combination of initial weight on ground and fuel consumption in air obtained with fuel tank gauge or by accumulating fuel flow. This approach is insufficient when the flight performance will be estimated as accurate as possible because all available measurements are not utilized. Therefore, forward-backward smoother derived from Kalman filter was applied to the estimation with our revision of the smoother to fuse terminal weight on ground additionally. According to numerical simulations, our method estimated the weight in smaller errors than not only the typical approach but also a fixed-interval smoother, which is used generally for an offline estimation problem. Moreover, application to actual flight data showed that our method improved the estimated standard deviation by approximate 3% at maximum compared to the fixed-interval smoother.