An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions

Research output: Contribution to conferencePaper

Abstract

This work contributes to the autonomous scheduling of orbit determination campaigns for tracking spacecraft in deep-space by developing a dedicated optimisation algorithm. Given a network of available ground stations, the developed method autonomously generates optimized tracking observation campaigns, in terms of stations to use and time of measurements, which minimize the uncertainty associated to the state of the satellite. The outcome is a set of optimal solutions characterized by different allocated budgets, among which the operators can choose the most appropriate or promising one. The developed approach relies on a Structured-Chromosome Genetic Algorithm that copes with mixed-discrete global optimization problems with variable-size design space. This operates on a hierarchical reformulation of the problem by means of revised genetic operators. The estimation of the spacecraft state and its uncertainty, given a set of measurements is performed using a sparse Gauss-Hermite Kalman Filter. The proposed approach has been tested to the design of observation campaigns for tracking a satellite in its interplanetary cruise to an asteroid. Uncertainty is considered in the initial conditions, execution errors and observation noises.

Conference

Conference70th International Astronautical Congress
Abbreviated titleIAC
CountryUnited States
CityWashington D.C.
Period21/10/1925/10/19
Internet address

Fingerprint

Spacecraft
Satellites
Asteroids
Global optimization
Chromosomes
Kalman filters
Mathematical operators
Orbits
Genetic algorithms
Scheduling
Uncertainty

Keywords

  • optimisation
  • tracking campaigns
  • structured-chromosome

Cite this

Gentile, L., Greco, C., Minisci, E., Bartz-Beielstein, T., & Vasile, M. (2019). An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions. Paper presented at 70th International Astronautical Congress, Washington D.C., United States.
Gentile, Lorenzo ; Greco, Cristian ; Minisci, Edmondo ; Bartz-Beielstein, Thomas ; Vasile, Massimiliano. / An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions. Paper presented at 70th International Astronautical Congress, Washington D.C., United States.11 p.
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note = "70th International Astronautical Congress, IAC ; Conference date: 21-10-2019 Through 25-10-2019",
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Gentile, L, Greco, C, Minisci, E, Bartz-Beielstein, T & Vasile, M 2019, 'An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions' Paper presented at 70th International Astronautical Congress, Washington D.C., United States, 21/10/19 - 25/10/19, .

An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions. / Gentile, Lorenzo; Greco, Cristian; Minisci, Edmondo; Bartz-Beielstein, Thomas; Vasile, Massimiliano.

2019. Paper presented at 70th International Astronautical Congress, Washington D.C., United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions

AU - Gentile, Lorenzo

AU - Greco, Cristian

AU - Minisci, Edmondo

AU - Bartz-Beielstein, Thomas

AU - Vasile, Massimiliano

PY - 2019/10/25

Y1 - 2019/10/25

N2 - This work contributes to the autonomous scheduling of orbit determination campaigns for tracking spacecraft in deep-space by developing a dedicated optimisation algorithm. Given a network of available ground stations, the developed method autonomously generates optimized tracking observation campaigns, in terms of stations to use and time of measurements, which minimize the uncertainty associated to the state of the satellite. The outcome is a set of optimal solutions characterized by different allocated budgets, among which the operators can choose the most appropriate or promising one. The developed approach relies on a Structured-Chromosome Genetic Algorithm that copes with mixed-discrete global optimization problems with variable-size design space. This operates on a hierarchical reformulation of the problem by means of revised genetic operators. The estimation of the spacecraft state and its uncertainty, given a set of measurements is performed using a sparse Gauss-Hermite Kalman Filter. The proposed approach has been tested to the design of observation campaigns for tracking a satellite in its interplanetary cruise to an asteroid. Uncertainty is considered in the initial conditions, execution errors and observation noises.

AB - This work contributes to the autonomous scheduling of orbit determination campaigns for tracking spacecraft in deep-space by developing a dedicated optimisation algorithm. Given a network of available ground stations, the developed method autonomously generates optimized tracking observation campaigns, in terms of stations to use and time of measurements, which minimize the uncertainty associated to the state of the satellite. The outcome is a set of optimal solutions characterized by different allocated budgets, among which the operators can choose the most appropriate or promising one. The developed approach relies on a Structured-Chromosome Genetic Algorithm that copes with mixed-discrete global optimization problems with variable-size design space. This operates on a hierarchical reformulation of the problem by means of revised genetic operators. The estimation of the spacecraft state and its uncertainty, given a set of measurements is performed using a sparse Gauss-Hermite Kalman Filter. The proposed approach has been tested to the design of observation campaigns for tracking a satellite in its interplanetary cruise to an asteroid. Uncertainty is considered in the initial conditions, execution errors and observation noises.

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KW - tracking campaigns

KW - structured-chromosome

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Gentile L, Greco C, Minisci E, Bartz-Beielstein T, Vasile M. An optimization approach for designing optimal tracking campaigns for low-resources deep-space missions. 2019. Paper presented at 70th International Astronautical Congress, Washington D.C., United States.