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.
@article{arxiv.2308.00723,
title = {Black-Box System Identification for Low-Cost Quadrotor Attitude at Hovering},
author = {Khaled Telli and Boumehraz Mohamed},
journal= {arXiv preprint arXiv:2308.00723},
year = {2023}
}