New Concepts in Spacecraft Guidance Navigation and Control

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 1420

Special Issue Editors


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Guest Editor
DART Group, Politecnico di Milano, Milan, Lombardy, Italy
Interests: spacecraft trajectory design; optimal control; nonlinear astrodynamics; stochastic optimization; autonomous guidance and control

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Guest Editor
Interdisciplinary Centre for Reliability, Security and Trust, University of Luxembourg, Luxembourg, Luxembourg
Interests: spacecraft navigation; deep-space cubesat; autonomous operations; optical navigation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
DART Group, Politecnico di Milano, Milan, Lombardy, Italy
Interests: nonlinear dynamics and control; robust trajectory design; uncertainty quantification and propagation; asteroid exploration

Special Issue Information

Dear Colleagues,

The space sector is witnessing unprecedented growth, driven by technological advancements and increasing global interest in both commercial and scientific exploration. As this momentum builds, there is a growing need for novel concepts in spacecraft guidance, navigation, and control (GNC) to address the evolving complexity of space exploration.

With the rising trend toward miniaturized platforms, such as CubeSats and small satellites, the challenge of optimizing GNC systems for compact, resource-limited environments has become more pressing than ever. Additionally, the push for greater autonomy in spacecraft operations—motivated by the saturation of on-ground facilities, the need to reduce human intervention, and the demand for more complex and distant scientific missions—continues to drive innovation in the field.

Artificial intelligence and distributed space systems are becoming integral components of these advancements, enabling smarter, more adaptive spacecraft capable of independent decision-making. The need to improve mission safety, enhance precision in deep space navigation, and incorporate advanced sensors is fueling the development of next-generation GNC systems.

This Special Issue of MDPI Aerospace seeks to present the latest breakthroughs and novel concepts in spacecraft GNC, focusing on innovations that will equip next-generation spacecraft to explore and research the solar system with greater autonomy and reliability.

Dr. Carmine Giordano
Dr. Vittorio Franzese
Dr. Iosto Fodde
Guest Editors

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Keywords

  • spacecraft GNC
  • miniaturized satellites
  • autonomous space systems
  • spacecraft trajectory optimization
  • deep space navigation
  • adaptive control systems
  • artificial intelligence in spacecraft GNC
  • space distributed systems

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Published Papers (1 paper)

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Research

27 pages, 2171 KiB  
Article
Robust Onboard Orbit Determination Through Error Kalman Filtering
by Michele Ceresoli, Andrea Colagrossi, Stefano Silvestrini and Michèle Lavagna
Aerospace 2025, 12(1), 45; https://doi.org/10.3390/aerospace12010045 - 12 Jan 2025
Viewed by 882
Abstract
Accurate and robust on-board orbit determination is essential for enabling autonomous spacecraft operations, particularly in scenarios where ground control is limited or unavailable. This paper presents a novel method for achieving robust on-board orbit determination by integrating a loosely coupled GNSS/INS architecture with [...] Read more.
Accurate and robust on-board orbit determination is essential for enabling autonomous spacecraft operations, particularly in scenarios where ground control is limited or unavailable. This paper presents a novel method for achieving robust on-board orbit determination by integrating a loosely coupled GNSS/INS architecture with an on-board orbit propagator through error Kalman filtering. This method is designed to continuously estimate and propagate a spacecraft’s orbital state, leveraging real-time sensor measurements from a global navigation satellite system (GNSS) receiver and an inertial navigation system (INS). The key advantage of the proposed approach lies in its ability to maintain orbit determination integrity even during GNSS signal outages or sensor failures. During such events, the on-board orbit propagator seamlessly continues to predict the spacecraft’s trajectory using the last known state information and the error estimates from the Kalman filter, which were adapted here to handle synthetic propagated measurements. The effectiveness and robustness of the method are demonstrated through comprehensive simulation studies under various operational scenarios, including simulated GNSS signal interruptions and sensor anomalies. Full article
(This article belongs to the Special Issue New Concepts in Spacecraft Guidance Navigation and Control)
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