A Distributed Quaternion Kalman Filter With Applications to Fly-by-Wire Systems

TL;DR

This paper presents a novel distributed quaternion Kalman filter for aircraft orientation tracking, enhancing robustness and avoiding gimbal lock, suitable for modern stealthy, highly maneuverable aircraft with redundant sensors.

Contribution

A new distributed quaternion Kalman filtering algorithm that improves robustness and computational distribution for aircraft orientation in flight management systems.

Findings

Algorithm successfully tracks aircraft orientation in simulations.

Robust to sensor and link failures.

Avoids gimbal lock issues.

Abstract

The introduction of automated flight control and management systems have made possible aircraft designs that sacrifice arodynamic stability in order to incorporate stealth technology intro their shape, operate more efficiently, and are highly maneuverable. Therefore, modern flight management systems are reliant on multiple redundant sensors to monitor and control the rotations of the aircraft. To this end, a novel distributed quaternion Kalman filtering algorithm is developed for tracking the rotation and orientation of an aircraft in the three-dimensional space. The algorithm is developed to distribute computation among the sensors in a manner that forces them to consent to a unique solution while being robust to sensor and link failure, a desirable characteristic for flight management systems. In addition, the underlying quaternion-valued state space model allows to avoid problems associated with gimbal lock. The performance of the developed algorithm is verified through simulations.