Thèse Cifre - Identification Fréquentielle Pour La Physique Du Vol (h/f)
Testia
Toulouse, France
System identification
Signal processing
Python and/or matlab programming
The objective of this thesis is to establish the relevance of a frequency domain identification approach using simultaneous multi-axis/multi-control surface inputs for Airbus aircraft
Job Summary
The objective of this thesis is to establish the relevance of a frequency domain identification approach using simultaneous multi-axis/multi-control surface inputs for Airbus aircraft.
The thesis will focus on optimizing excitation protocols, validating identified models, and evaluating the method's suitability for real-time identification for adaptive control laws.
This 36-month CIFRE thesis is a collaboration with ONERA and requires a Master's degree in Automatic Control or a related field, with strong programming skills in Python and/or Matlab.
Matching Summary
The objective of this thesis is to establish the relevance of a frequency domain identification approach using simultaneous multi-axis/multi-control surface inputs for Airbus aircraft.
Skills & Requirements
Must-have
System identification
Signal processing
Python and/or Matlab programming
Frequency domain identification
Multi-axis excitation protocols
Nice-to-have
Flight mechanics knowledge
Flight qualities knowledge
Aerodynamics knowledge
Real-time identification
Adaptive control law design
Key Requirements
Master 2 degree in Automatic Control or related discipline