The accuracy of dynamic modelling of unmanned aerial vehicles, specifically
quadrotors, is gaining importance since strict conditionalities are imposed on
rotorcraft control. The system identification plays a crucial role as an
effective approach for the problem of the fine-tuning dynamic models for
applications such control system design and as handling quality evaluation.
This paper focuses on black-box identification, describing the quadrotor
dynamics based on experimental setup through sensor preparation for data
collection, modelling, control design, and verification stages