Trajectory Tracking Control of UAV Based on Model-free Adaptive Control Algorithm

In this paper, a trajectory tracking system of unmanned aerial vehicle (UAV) based on model-free adaptive control (MFAC) is proposed. By only analyzing the input energy and flying height of UAV, efficient trajectory tracking control is realized. The stability and feasibility of the proposed control scheme CFDL-MFAC are systematically analyzed in theory. At the same time, the influence of different parameters on the control performance is discussed through simulation experiments, and the stability performance of the control scheme is verified when the input signal is lost due to external environment interference.