Data-driven control design for UAV autolanding: a pitch-only case study

This paper aims at exploring a new-type mode for autolanding control of fixed-wing unmanned aerial vehicles (UAVs). A discrete-time data-driven control scheme is tentatively proposed and developed with its pitch-only channel as a case study. Eventually, data-driven controllers inspired by attracting laws are introduced for a series of difference models. Numerical simulation for pitch-only dynamics is demonstrated to validate and compare performances of proposed DDC laws. Simulation results indicate that DDC laws can achieve the desired performance by altering data-driven models with different orders.