Indirect Adaptive Fuzzy Control of Unmanned Aerial Vehicle

Abstract The design and application of indirect adaptive fuzzy controller is developed and applied to Unmanned Aerial Vehicles (UAVs). The parameters of identified model are adapted on-line based on the error between the identified model and the actual output. The model process sensitivity factor and the error between the reference input and process output are used to adapt the controller parameters. The model process sensitivity is seen to improve the convergence in addition to improving the response of the UAV, when applied to the attitude control of a typical UAV. Simulation results show the superiority of the proposed controller in the attitude control of the UAV.

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