Model Predictive Control for Adaptable Space Applications

Develop model predictive control (MPC) algorithms that are suitable for space applications and tailored to embedded applications on target multiprocessor systems, using rigorous auto-coding generation procedures. The MPC controllers should perform guidance, navigation and control (GNC) tasks. Perform trade-off studies between the MPC potentials and limitations taking into account processor implementation of on-line constrained optimization problems in the view of computational requirements. Demonstrate the effectiveness of the study on a set of relevant application problems in GNC of aerospace systems and on a flight demonstration based on industrial test-benches.

Possession of an undergraduate degree in engineering is preferable. The candidate should have a strong background in model predictive control of aerospace systems, such as unmanned aerial vehicles (UAVs), with skills in theoretical aspects, algorithms, in the MATLAB/Simulink environment for simulating MPC control of UAVs and in the hardware (mechanics, electronics, and software) constituting real flying prototypes.

€13.638 gross/year