Simone Paternostro Email & Phone Number

Netherlands

Member of the Columbus Sustaining Engineering & Integration team (HRE-OPE) Directorate of Human and Robotic Exploration Programmes (D/HRE)

Netherlands

Netherlands

Innsbruck

Institute For Aerospace Technology, University Of Nottingham

Navigation Engineer of "the systematic Integration of Novel Aerospace Technologies (INNOVATE)" project. Objectives:- Investigated critical aspects to safe aircraft operations in GNSS denied situations.- Analysed and tested the integrity performance of Multi-GNSS ARAIM algorithm for Civil Manned applications- Design and development of user Algorithms integrating ARAIM techniques for integrity performance prediction- Simulation and Testing in Matlab- Lead and managed a team of two researchers for the development of a physical demonstrator

Eads Astrium Friedrichshafen

Development of process and algorithms for optimality and consistency of 3-D attitude estimation filters considering time-variant misalignment between Star Trackers (STR) and Gyros, due to thermal distortions that often occurs in missions with repetitive eclipse and sun phases.Star Trackers and Gyros have a number of complementary proprieties which makes them interesting for sensors data fusion. E.g. while a STR provides low-frequent long-term stable attitude measurements, the attitude computed from high-frequent Gyro measurement is only short-term stable. The motivation to fuse STR and Gyro is to generate long-term stable attitude estimate at Gyro measurement frequency of attenuated noise compared to the STR measurement and to optimally bridge periods where no ST measurement is available.We supposed that the thermal distortion acts only on the Gyros system introducing two new variables that influence the mutual positions of the two sensors and so an error in the attitude estimation; these variables are the misalignment, angle between the nominal Gyros frame position and the modified, and the misalignment rate, angular rate of the U frame (Gyros) respect to the B frame (Body) expressed in the U frame. The whole system is simulated in Matlab Simulink and divided in three main subsystems: Star Tracker measurements simulator, Gyros measurements simulator and the Kalman FilterThe state estimate is computed and compared using three different Kalman filters:1)Standard Kalman Filter (SKF)2)Extended Kalman Filter (EKF): uses an augmented state vector, including and estimating the two new variables3)Consider Kalman Filter (CKF): this type of filter doesn’t estimate the new variable directly, instead update the state estimates and covariance based on an estimated parameter covarianceThe observability matrix has been evaluated for all the systems.The performance parameters for the comparison of the three systems will be the accuracy and the simulation time.

Space Studies Programme 2019, Aerospace, Aeronautical And Astronautical/Space Engineering

Activities and Societies: - Team Project on Space for Urban Planning - Human in Space Performance department - Top 10 best academic.

Doctor Of Philosophy (Phd), Engineering Surveying And Space Geodesy

- Investigated critical aspects to safe aircraft operations in GNSS denied situations. - Analysed and tested the integrity performance.

2Nd Level Master'S Degree, Space Trasportation Systems

▪ Mission Analysis, Launcher Design, Solid and Liquid Rocket Engines, AOCS/GNC, Structures, Space Program Management, Launcher System.

Master'S Degree, Space Engineering

▪ Space Flight Dynamics, Mission Analysis, Attitude and Orbit Determination, Spacecraft Propulsion, Space Materials, Fundamentals.

Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering

Thesis: “Analysis of the interplanetary trajectory for a manned mission on Mars with a nuclear-electric propulsor”.

Education record

Education record