Atilla Saadat

Atilla Saadat
University of Toronto | U of T · Institute for Aerospace Studies

Master of Science

About

7
Publications
568
Reads
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18
Citations
Introduction
🚀 GNC Engineer | Passionate Space Systems Engineer 🛰️ Leveraging a comprehensive background from my graduate studies in Space Systems Engineering, I have honed a multifaceted skillset encompassing Spacecraft Systems Design, Mechanical & Electrical Systems, RF Communications, Robotics, and Software Engineering. I'm proud to currently contribute to cutting-edge projects at Turion Space as a GNC Engineer. Dive deeper into my portfolio: https://atillasaadat.me.
Education
September 2020 - May 2022
University of Toronto
Field of study
  • Aerospace Science & Engineering
September 2015 - August 2020
University of Windsor
Field of study
  • Mechanical & Aerospace Engineering

Publications

Publications (7)
Conference Paper
Full-text available
Attitude determination and control algorithms may benefit from improved knowledge of the spacecraft inertia tensor. Generally, a spacecraft's CAD model is used to compute the inertia tensor, however, creating a very high-fidelity model to capture numerous geometric configurations and small components such as tie-downs, wiring harnesses, fuel distri...
Thesis
Full-text available
As the demand for spacecraft grows, spacecraft manufacturers are required to innovate on system design and test procedures in order to meet demand. The University of Toronto Institute of Aerospace Studies (UTIAS) Space Flight Laboratory (SFL) thus requires innovative solutions to optimize the design and test of these spacecraft. This thesis present...
Conference Paper
Full-text available
Attitude determination for small satellites is a vital aspect of spacecraft operations. Earth Horizon Sensor(s) (EHS) are one of many sensors used in on-orbit attitude estimation. A conventional EHS captures infrared images of the Earth's horizon and estimates the nadir vector in the spacecraft body frame, using the Earth's curvature and prior know...
Conference Paper
The primary focus of this study is to explore a novel approach for data-driven machine learning techniques on the isolation of non-linear systems, with a case-study for an in-orbit closed-loop controlled satellite with reaction wheels as actuators. High-fidelity models of the 3-axis controlled satellite are employed to provide an abundance of data...
Article
The primary objective of this study is to explore novel applications of data-driven machine learning methods for isolation of nonlinear systems with a case study for an in-orbit closed-loop controlled satellite with reaction wheels as actuators. High-fidelity models of the three-axis controlled satellite are developed to provide an abundance of dat...
Conference Paper
The primary objective of this study is to explore novel applications of data-driven machine learning methods for isolation of nonlinear systems with a case-study for an in-orbit closed-loop controlled satellite with reaction wheels as actuators. High-fidelity models of the 3-axis controlled satellite are developed to provide an abundance of data fo...
Presentation
The primary objective of this study is to explore novel applications of data-driven machine learning methods for isolation of nonlinear systems with a case-study for an in-orbit closed-loop controlled satellite with reaction wheels as actuators. High-fidelity models of the 3-axis controlled satellite are developed to provide an abundance of data fo...

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