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.

翻译：无人机（特别是四旋翼）动力学建模的准确性正变得日益重要，因为旋翼飞行器控制受到严格条件的约束。系统辨识作为一种有效方法，在解决控制系统设计及操控品质评估等应用中的动态模型精调问题中扮演着关键角色。本文聚焦于黑箱辨识方法，通过传感器准备、数据采集、建模、控制设计和验证等实验环节，描述了基于实验装置的四旋翼动力学特性。