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Adaptive genetic neuro-fuzzy attitude control for a fixed wing UAV

The remarkable growth of the different applications for unmanned aerial vehicles (UAVs) are currently of high research interest. This paper proposes a new approach for the attitude control system of a fixed wing aircraft. Using techniques of Artificial Intelligence (AI), this research presents a solution that uses Adaptive Neuro-Fuzzy Inference System (ANFIS) as flight dynamics identifier, and genetic algorithms (GA) as parameter optimization to the attitude control. This approach ensures always the best control system response during a flight, and prevent the user from having to tune the control parameters before every mission.