A Sensor Fusion Approach to Observe Quadrotor Velocity

Author:

Meza-Ibarra José Ramón1,Martínez-Ulloa Joaquín1,Moreno-Pacheco Luis Alfonso1ORCID,Rodríguez-Cortés Hugo2ORCID

Affiliation:

1. Sección de Estudios de Posgrado, Escuela Superior de Ingeniería Mecánica y Eléctrica, Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional, S/N, Col. Lindavista, Ciudad de México 07738, Mexico

2. Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico Autónomo de México, Río Hondo 1, Tizapán, Mexico City 01080, Mexico

Abstract

The growing use of Unmanned Aerial Vehicles (UAVs) raises the need to improve their autonomous navigation capabilities. Visual odometry allows for dispensing positioning systems, such as GPS, especially on indoor flights. This paper reports an effort toward UAV autonomous navigation by proposing a translational velocity observer based on inertial and visual measurements for a quadrotor. The proposed observer complementarily fuses available measurements from different domains and is synthesized following the Immersion and Invariance observer design technique. A formal Lyapunov-based observer error convergence to zero is provided. The proposed observer algorithm is evaluated using numerical simulations in the Parrot Mambo Minidrone App from Simulink-Matlab.

Publisher

MDPI AG

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4. Van der Schaft, A. (2016). L2-Gain and Passivity Techniques in Nonlinear Control, Springer. Communications and Control Engineering.

5. Sasiadek, J., and Hartana, P. (May, January 26). Sensor fusion for navigation of an autonomous unmanned aerial vehicle. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA’04), New Orleans, LA, USA.

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