Quality evaluation model of unmanned aerial vehicle's horizontal flight maneuver based on flight data

The unmanned aerial vehicle (UAV) manipulator's flying performance mostly relies on experts' subjective evaluation and different flight maneuvers lack pertinent evaluation criteria, so a model which uses flight data to evaluate the horizontal flight quality of UAV is established. Firstly, the flight data segment of UAV's horizontal flight maneuver was identified by the flight discrimination rules. Then, according to Bollinger bands theory, the scores of multiple flight parameters in each flight data segment were calculated. Finally, the weight of each parameter was determined by the entropy weight method and the indexes reflecting the horizontal flight maneuver's quality of different UAV manipulators were obtained. In a quadrilateral flying training mission, four groups of different UAV maneuvers' flight data and one group of flight data under autonomous control were input into the model. The calculation results show that the model can well identify the horizontal flight maneuver and distinguish the horizontal flight maneuver's quality of different manipulators, which can provide advice for the training of UAV manipulators. © 2019, Editorial Board of JBUAA. All right reserved.