Positioning and recovering of fixed-wing UAV using updating final-state control and adaptive nonstationary control

Descent deceleration using parachutes is widely used in the aerospace field for scenarios such as weather observation descent of high-altitude balloons (radiosondes), re-entry during space sample return, and emergency drone landings. These are to protect aircraft samples, avoid hazards with objects humans on ground. However, it difficult control dropping point parachutes, there have been concerns regarding accidents caused by insufficient adverse environmental effects disposal unrecovered objects. To solve these problems, we propose a method aerial recovery low-speed fixed-wing unmanned vehicles (UAVs). Our previous work has shown flight trajectory generation that employs updating final-state (UFSC) handle variations terminal target states until object recovered. The frequency-shaped optimal regulator enables return steady-state also after UFSC. owing characteristics each method, problem sudden fluctuations input before descending remained, performing an actual was predicted be difficult. In this study, avoided switching from UFSC adaptive nonstationary (ANC), which proposed studies. ANC can applied when approaches object, confirmed smooth series designs flight.