Aircraft sensors fusion algorithms optimisation

This project is to study the sensors (e.g., accelerometers, gyros, magnetometers) which used to measure the flight control system. These sensors are usually are effecting with bias, drift and noise effects. Therefore, the use of sensors fusion algorithms is key to estimate accurately measured and filtered values and to ensure the correct behavior of the flight controller. These algorithms (EKF,Mahony and Madgwick) and proper sensors models (with bias, noise, etc…) have already been
implemented in Matlab and C++ and tested on aircraft scenarios.

In the second step of this study, the new algorithms/features might be implemented and integrated such as Unscented Kalman Fiter (UKF) or Least Square Methods (LSM). These new approaches will have to be compared to the previous results.

Faculty Supervisor:

Marius Paraschivoiu

Student:

Partner:

Institut Supérieur de l'Aéronautique et de l'Espace

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program: