Model Predictive Control for Adaptable Space Applications

Fields:

Automatic Control, Guidance Navigation and Control, Aerospace Control System, Model Predictive Control

Activity:

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.

Formal requirements:

You must currently be eligible for and enrolled in an Italian Ph.D. Program; excellent knowledge of English, both written and spoken.

Specific requirements:

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.

Project:

"Model Predictive Control for Adaptable Space Applications" in collaboration with ESA - European Space Agency

Gross amount:

€13.638 gross/year

Duration:

36 months