Modeling and Analysis of Staged Constellation Deployment from a Single-Unit System

A novel satellite architecture and deployment method is proposed to reduce the logistical cost and complexity of launching and dispersing satellite constellations. The architecture consists of a primary satellite that separates into multiple smaller units, which are subsequently dispersed using differential drag. An algorithm is developed to determine the required disengagement velocities and optimal timing for separation maneuvers. Two case studies with orbital simulations demonstrate the feasibility of this approach for constellation deployment and phasing. The results indicate that while mission-specific factors influence deployment dynamics, informed selection of the disengagement velocities is crucial for minimizing phase times and mitigating potential delays. The findings confirm the feasibility of the proposed architecture and dispersal method, offering a cost-effective alternative to traditional deployment strategies for future satellite constellations.

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Publication Details

Journal
Aerospace
Published
2025-06-29
DOI
https://doi.org/10.3390/aerospace12070586
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
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article

Modeling and Analysis of Staged Constellation Deployment from a Single-Unit System

M. Azzopardi, Daniel Cumbo
Aerospace
Modular Robots and Swarm Intelligence
article

Modeling and Analysis of Staged Constellation Deployment from a Single-Unit System

M. Azzopardi, Daniel Cumbo
article en

Abstract

A novel satellite architecture and deployment method is proposed to reduce the logistical cost and complexity of launching and dispersing satellite constellations. The architecture consists of a primary satellite that separates into multiple smaller units, which are subsequently dispersed using differential drag. An algorithm is developed to determine the required disengagement velocities and optimal timing for separation maneuvers. Two case studies with orbital simulations demonstrate the feasibility of this approach for constellation deployment and phasing. The results indicate that while mission-specific factors influence deployment dynamics, informed selection of the disengagement velocities is crucial for minimizing phase times and mitigating potential delays. The findings confirm the feasibility of the proposed architecture and dispersal method, offering a cost-effective alternative to traditional deployment strategies for future satellite constellations.

AerospaceVol. 12(7)
University of Malta (MT)
Openalex Percentile: Top 85%
Modular Robots and Swarm Intelligence
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