Trajectory Tracking of Fixed-Wing UAV Using ANFIS-Based Sliding Mode Controller

This paper proposes a robust Adaptive Neuro-Fuzzy Inference System-based Sliding Mode Controller (ANFIS-SMC) for trajectory tracking in fixed-wing unmanned aerial vehicles (FWUAVs). FWUAVs are autonomous and versatile, finding applications in many fields such as defense, surveillance, and logistics. However, their dynamic model is highly complex due to nonlinearity and coupling effects. In this paper the decoupling is held based on extracting dominant inputs, and all other inputs are considered uncertainties, for designing controllers. The proposed ANFIS-SMC integrates the adaptability of the ANFIS with the robustness of SMC to overcome issues such as the chattering effect and shortcomings of traditional fuzzy…