Design of Multi-Rotor UAVs’ Positioning Controller Based on Data Fusion

Authors

Qinghe Wang, Information Engineering University, Zhengzhou 450052, China;
Wan Gang, Information Engineering University, Zhengzhou 450052, China;
Xuefeng Cao, Information Engineering University, Zhengzhou 450052, China;
Lixiang Xie, Information Engineering University, Zhengzhou 450052, China;

Abstract

Abstract: A dynamical model of multi-rotor UAVs was established, and a positioning controller of multi-rotor UAVs in an indoor environment was designed. In order to improve the accuracy of positioning, the specific tag was set to provide visual data for the UAV in interior space. Fusing the inertial data and the height data obtained from sensors of the UAV with visual data through the Extended Kalman Filter, and the UAV’s position was obtained from the estimation of flight state in real time. Simulation results show that the error of the UAV’s position reduces significantly after fusing the visual data, and the positioning accuracy of the UAV improved a lot, which shows that the controller works well.

Recommended Citation

Wang, Qinghe; Gang, Wan; Cao, Xuefeng; and Xie, Lixiang (2020) "Design of Multi-Rotor UAVs’ Positioning Controller Based on Data Fusion," Journal of System Simulation: Vol. 28: Iss. 10, Article 43.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/43

First Page

2593

Revised Date

2016-07-11

DOI Link

https://doi.org/

Last Page

2599

CLC

TJ391;TJ761.1

Recommended Citation

Wang Qinghe, Wan Gang, Cao Xuefeng, Xie Lixiang. Design of Multi-Rotor UAVs’ Positioning Controller Based on Data Fusion[J]. Journal of System Simulation, 2016, 28(10): 2593-2599.