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A Novel Dual Quaternion Based Dynamic Motion Primitives for Acrobatic Flight

2021-07-13 14:17:37
Renshan Zhang, Yongyang Hu, Kuang Zhao, Su Cao
arXiv_RO
   
Abstract

The realization of motion description is a challenging work for fixed-wing Unmanned Aerial Vehicle (UAV) acrobatic flight, due to the inherent coupling problem in ranslational-rotational motion. This paper aims to develop a novel maneuver description method through the idea of imitation learning, and there are two main contributions of our work: 1) A dual quaternion based dynamic motion primitives (DQ-DMP) is proposed and the state equations of the position and attitude can be combined without loss of accuracy. 2) An online hardware-inthe-loop (HITL) training system is established. Based on the DQDMP method, the geometric features of the demonstrated maneuver can be obtained in real-time, and the stability of the DQ-DMP is theoretically proved. The simulation results illustrate the superiority of the proposed method compared to the traditional position/attitude decoupling method.

Abstract (translated)

URL

https://arxiv.org/abs/2107.06116

PDF

https://arxiv.org/pdf/2107.06116.pdf

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