2026-10-13T02:15:23Z https://www.scidb.cn/oai

10.57760/sciencedb.j00240.00162 2026-04-01T09:56:45Z

2026-04-01 Quadcopter Flight Trajectory Control Dataset doi:10.57760/sciencedb.j00240.00162 en This dataset comprises real-time dynamic response data consisting of 10-dimensional state variables and the corresponding 3-dimensional control inputs during quadcopter operation. The state variables, captured in real-time by a motion capture system, include the drone's position, velocity, and attitude quaternions. The control inputs, computed online by the onboard computer, represent acceleration commands across three axes.The dataset is designed for research in data-driven and intelligent trajectory control. It provides high-quality training and testing samples for developing deep neural networks, reinforcement learning control strategies, or system identification. It further supports the design and validation of intelligent control laws and planning algorithms in complex 3D environments. Additionally, the temporal mapping between flight states and control inputs enables the construction of precise quadcopter dynamic and kinematic models. These models can be applied to trajectory evolution analysis, flight control law mining, and digital twin simulations. dynamic response; quadcopter ; Flight Trajectory Li Bin guan tao Cui Yi Shi Mingming PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank