Laura Pirovano

Laura Pirovano
University of Auckland · Auckland Space Institute

Doctor of Philosophy

About

26
Publications
3,708
Reads
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45
Citations
Citations since 2017
25 Research Items
45 Citations
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
201720182019202020212022202302468101214
Additional affiliations
October 2017 - January 2020
University of Surrey
Position
  • Demonstrator for space dynamics and missions
Description
  • Demonstator for Matlab Labs of the course space dynamics and missions.
Education
October 2017 - December 2019
University of Surrey
Field of study
  • Aerospace Engineering
May 2016 - September 2017
Universidad de La Rioja (Spain)
Field of study
  • Mathematics
September 2013 - December 2015
Delft University of Technology
Field of study
  • Aerospace Engineering, focus on Space Exploration

Publications

Publications (26)
Article
Full-text available
Space debris have become exceedingly dangerous over the years as the number of objects in orbit continues to increase. Active debris removal (ADR) missions have gained significant interest as effective means of mitigating the risk of collision between objects in space. This study focuses on developing a multi-ADR mission that utilizes controlled re...
Conference Paper
Full-text available
This paper develops a high-order guidance scheme based on the expansion of the solution to a time-optimal low-thrust optimal control problem by utilising differential algebraic (DA) techniques. The result allows new optimal trajectories to be autonomously computed from the simple evaluation of polynomials, including updated time-of-flights. Further...
Article
An initial orbit determination algorithm for surveillance Doppler-only radars with embedded quantification capabilities is presented. The method is based on a combination of Gauss' and Lambert's solvers formulated in the differential algebra framework, which provides the Taylor expansion of the state estimate with respect to the measurement uncerta...
Preprint
Full-text available
Building and maintaining a catalog of resident space objects involves several tasks, ranging from observations to data analysis. Once acquired, the knowledge of a space object needs to be updated following a dedicated observing schedule. Dynamics mismodeling and unknown maneuvers can alter the catalog's accuracy, resulting in uncorrelated observati...
Preprint
Full-text available
Space debris have been becoming exceedingly dangerous over the years as the number of objects in orbit continues to rise. Active debris removal (ADR) missions have garnered significant attention as an effective way to mitigate this collision risk. This research focuses on developing a multi-ADR mission that utilizes controlled reentry and deorbitin...
Conference Paper
Full-text available
Building and maintaining knowledge of resident space objects involves several tasks, ranging from observations to data analysis. Once acquired, the knowledge of a space object needs to be updated following a dedicated observing schedule. However, dynamics mismodelling and unknown maneuvers can alter the catalog's accuracy, resulting in uncorrelated...
Preprint
Full-text available
This paper presents the solution approach developed by the team "theAntipodes" for the 11th Global Trajectory Optimization Competition (GTOC11). The approach consists of four main blocks: 1) mothership chain generation, 2) rendezvous table generation, 3) the dispatcher, and 4) the refinement. Blocks 1 and 3 are purely combinatorial optimization pro...
Article
This paper presents the solution approach developed by the team “theAntipodes” for the 11th Global Trajectory Optimization Competition (GTOC11). The approach consists of four main blocks: (1) mothership chain generation, (2) rendezvous table generation, (3) the dispatcher, and (4) the refinement. Blocks 1 and 3 are purely combinatorial optimization...
Preprint
Full-text available
This note develops easily applicable techniques that improve the convergence and reduce the computational time of indirect low thrust trajectory optimization when solving fuel- and time-optimal problems. For solving fuel optimal (FO) problems, a positive scaling factor -- $\Gamma_{TR}$ -- is introduced based on the energy optimal (EO) solution to e...
Preprint
Full-text available
A new Doppler radar initial orbit determination algorithm with embedded uncertainty quantification capabilities is presented. The method is based on a combination of Gauss' and Lambert's solvers. The whole process is carried out in the Differential Algebra framework, which provides the Taylor expansion of the state estimate with respect to the meas...
Conference Paper
Full-text available
In the context of Space Surveillance and Tracking, one of the crucial phases of the cataloging process is the identification of newly detected objects and their initial orbit determination (IOD). We propose an analysis of the combined use of radar and optical instruments in a stare and chase strategy as follows. Through a large field of view starin...
Conference Paper
The ever-increasing amount of uncontrolled space objects, known as space debris, poses a risk to space activities due to possible collisions with operational spacecraft. An accurate prediction of their orbit is needed to prevent damages to infrastructure in orbit and on the ground. In the frame of the Spanish Space Surveillance and Tracking (SST) (...
Article
Full-text available
Untracked space debris is the principal threat to operational satellites’ functioning whose services have become a fundamental part of our daily life. Though some specialised sensors can detect objects down to sub-cm sizes in geostationary Earth orbit, only objects larger than 30 cm are currently being catalogued. Thus, small debris are only seldom...
Conference Paper
Full-text available
Recent anomalies and break-ups by satellites and rocket bodies have added more fragments to an already substantial population of debris in high-altitude Earth orbits. Many of these fragments are too faint to detect with small telescopes, instead requiring the superior collecting area of larger instruments. Optical surveys of the geosynchronous (GS...
Poster
Full-text available
Recent anomalies and break-ups by satellites and rocket bodies have added more fragments to an already substantial population of debris in high-altitude Earth orbits. Many of these fragments are too faint to detect with small telescopes, instead requiring the superior collecting area of larger instruments. However, large telescopes typically have...
Article
Full-text available
This paper presents a novel method to obtain the solution to the initial orbit determination problem for optical observations as a continuum of orbits—namely the orbit set—that fits the set of acquired observations within a prescribed accuracy. Differential algebra is exploited to analytically link the uncertainty in the observations to the state o...
Article
Full-text available
When building a space catalogue, it is necessary to acquire multiple observations of the same object for the estimated state to be considered meaningful. A first concern is then to establish whether different sets of observations belong to the same object, which is the association problem. Due to illumination constraints and adopted observation str...
Conference Paper
Full-text available
Untraced space debris is the principal threat to the functioning of operational satellites whose services have become a fundamental part of our daily life. Small debris between 1 and 10 cm are currently too small to be cataloged and are only detectable for a limited amount of time. Indeed, when performing survey campaigns, the selected schedule and...
Conference Paper
Full-text available
Untraced space debris are the principal threat to the functioning of operational satellites whose services have be- come a fundamental part of our daily life. Small debris between 1 and 10 cm are currently too small to be cataloged and are only detectable for a limited amount of time when surveying the sky. The very-short arc nature of the observat...
Conference Paper
Full-text available
The paper focuses on a novel method for data association with Differential Algebra. The sensitivity of the DA-IOD algorithm developed to different observing strategies is analysed, highlighting the necessity for a different data treatment for specific cases. Results for the data association are shown both for real observations one day apart and for...
Conference Paper
Full-text available
The uncertainty region associated with short arcs is typically large, making the initialization of orbit estimators a challenging task. In this work we propose a method to reduce the size of the uncertainty region using automatic domain pruning. The initial orbit and its confidence region are obtained by using a differential algebra-based initial o...
Poster
Full-text available
The object of this paper is the initial orbit determination of an orbit set compatible with an observational arc by means of differential algebra. The initial estimate is retrieved as a truncated power series expanded with respect to the uncertainties in the measurements. The analysis of the region is performed with the automatic domain splitting,...
Conference Paper
Gossamer-1 is the first project of the three-step Gossamer roadmap, the purpose of which is to develop, prove and demonstrate that solar-sail technology is a safe and reliable propulsion technique for long-lasting and high-energy missions. This paper firstly presents the structural analysis performed on the sail to understand its elastic behavior....

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Projects

Projects (2)
Project
Devise a robust and efficient algorithm to autonomously compute collision avoidance trajectory. The method can deal with short and long-term encounters and on arbitrary orbital regimes.
Project
An international effort is currently being devoted to improving the performance of optical and radar sensors for space debris monitoring. Consequently, the coming years are expected to bring along a significant increase of the number of observed objects and, thus, the need for an efficient classification of the sensors data. Within this framework, this project, funded by the USA Air Force Research Laboratory, investigates the problem of the efficient correlation of two observations of resident space objects that are not yet associated to known objects.