Control System Engineer

Flight Vehicle Dynamics Expert

Master and Bachelor Student in Aerospace Engineer

WORK EXPERIENCE

Sep 2016-May 2017 L1 Adaptive Control

Personal project, https://drive.google.com/open-id=0B_sjnTXUwk_3VUdIWTN3QVZWNXc
– L1 adaptive control was applied to a fixed-wing aircraft. A nonlinear model of the aircraft has been
developed in Simulink. A baseline controller, pole placement, has been developed for lateral and
longitudinal dynamics. Since aircraft's parameters are never exactly known, random variations have
been given to the model to see if the adaptive controller was robust with respect to those variations
and able to compensate for.

– L1 adaptive control showed very high robustness to parameters variation, making it a viable solution
for advanced flight control systems; for example, a high variation in inertial and mass properties, as
well as aerodynamic instability (Cmalpha>0), are compensated by the control system.
– Furthermore, variations of altitude were automatically compensated, meaning that L1AC can reduce
and even eliminate the need for gain scheduling.
Business or sector Aerospace
PREFERRED JOB Flight Dynamics, Control System Engineer, Vehicle Performance Engineer

June 2016-Present Mechatronics Control System Engineer

Piaggio Aerospace, Villanova d’Albenga (SV), http://www.piaggioaerospace.it/
– Control System and Algorithms for Braking System, Landing Gear, Steering and Hydraulic systems.
– Anti-Skid and Auto-Brake SW functionalities and control (both normal and emergency mode)
– Vehicle handling on ground evaluation
– Multi-domain System and components modelling and simulation (Simscape)
– Experimental Data Analysis for system identification and control law refinement and definition
– Design of Flight Data Analysis tools (GUI, Plotting, and Database Analysis)
– Technical documentation and tests procedures
– SW safety critical: design, structural and requirements coverage, and V&V
Business or sector Aerospace

October-December 2015 Vehicle Dynamics Specialist

University of Bologna, Forlì Flight vehicle system identification project
– MATLAB SW for identification of nonlinear aircraft dynamics parameters (Filter Error Method, Output
Error Method and Artificial Neural Network).
– SW validation (flight tests)
– Flight manoeuvres were deeply studied to better excite and refine estimated parameters.
Business or sector Aerospace controls and dynamics systems

September 2013-October 2014 Mechanical System Engineer

EASA, European Space Agency, http://www.esa.int/ESA
For 18th Bexus Campaign
http://www.esa.int/Education/Rocket_Balloon_Experiments_for_University_Students
– Mechanical System Integration
– Components selection
– FEM Analysis
– Drop Tests
Business or sector Space