DSROOCSep 22, 2017

A Unified Approach to Configuration-based Dynamic Analysis of Quadcopters for Optimal Stability

arXiv:1709.07936v18 citations
Originality Incremental advance
AI Analysis

This work addresses stability optimization for quadcopter designers and users, but it is incremental as it builds on existing configurations with new variations.

The paper tackled the problem of optimizing quadcopter stability by defining six new configurations beyond the standard '+' and 'x' setups, and developed a comprehensive dynamic model for all configurations, showing that one configuration achieves the most static stability with damping motion in Roll/Pitch/Yaw.

A special type of rotary-wing Unmanned Aerial Vehicles (UAV), called Quadcopter have prevailed to the civilian use for the past decade. They have gained significant amount of attention within the UAV community for their redundancy and ease of control, despite the fact that they fall under an under-actuated system category. They come in a variety of configurations. The "+" and "x" configurations were introduced first. Literature pertinent to these two configurations is vast. However, in this paper, we define 6 additional possible configurations for a Quadcopter that can be built under either "+" or "x" setup. These configurations can be achieved by changing the angle that the axis of rotation for rotors make with the main body, i.e., fuselage. This would also change the location of the COM with respect to the propellers which can add to the overall stability. A comprehensive dynamic model for all these configurations is developed for the first time. The overall stability for these configurations are addressed. In particular, it is shown that one configuration can lead to the most statically-stable platform by adopting damping motion in Roll/Pitch/Yaw, which is described for the first time to the best of our knowledge.

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