The input estimator design and application in estimating atmospheric disturbances for aircraft systems

In this work, the Input-Estimation IE algorithm based on Kalman filter F is proposed to estimate the atmospheric disturbance. It can hold a high disturbance estimating performance when system variation is unknown and under the disturbances. The input estimation algorithm is an on-line inverse estimation method that based on the F and least square method, which estimate the system disturbance without extra sensors. The estimation performance of the proposed estimator is also studied in estimating the atmospheric disturbance for the aircraft system. The simulation results shown that the proposed estimator can be a good disturbance estimator for aircraft system in estimating the atmospheric disturbance.