In this work, state vector estimation by means of the Fuzzy Kalman Filter (FKF) is used to generate a control signal that stabilizes an unmanned quadrotor aircraft. The framework for fuzzy Kalman Filter methodology has been successfully developed, and in this sense, the FKF is implemented and compared with Kalman Filter (KF) and extended Kalman Filter (EKF). It will be proved that the fuzzy version gives some advantages such as a smaller processing time and a smaller Mean Squared Error (MSE). Finally, these results are shown in graphics and tables.
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