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• W3006243652 abstract "This article proposes an innovative fusion filter based method to address the tracking problem of quadrotors in presence of disturbance and measurement noises. The translational part is decouped from the mathematical model of a quadrotor, and then the discretized state space expression of translational motion with disturbance and measurement noises is obtained. To make the transition process of the desired track of the quadrotor more reasonable, the tracking differentiator is adopted. The fuzzy PID control strategy is designed to extend the quadrotor system online tuning capabilities. Moreover, a robust Kalman filter (RKF) is applied to process the data under the measured noises. Simulation results illustrate that the method applied in this article has better tracking performance and has more significant inhibition on the outliers in measurement noises." @default.
• W3006243652 created "2020-02-24" @default.
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• W3006243652 date "2019-11-01" @default.
• W3006243652 modified "2023-09-25" @default.
• W3006243652 title "Tracking control of a quadrotor UAV based on fusion filter" @default.
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• W3006243652 doi "https://doi.org/10.1109/cac48633.2019.8996809" @default.
• W3006243652 hasPublicationYear "2019" @default.
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