PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 8, 2026Engineering0 citationsOpen Access

Behavior-Inspired Event-Triggered Control of Spacecraft Swarms for Autonomous Capture of Uncooperative Targets

View Full Paper
ZZZixuan ZhangYork UniversityZZZheng H. ZhuYork UniversityDZD D ZhangShanghai University

Key Points

  • This study aims to develop a decentralized control framework for spacecraft swarms to autonomously capture uncooperative targets.
  • Event-triggered distributed control strategy for spacecraft swarms.
  • Three local behaviors were implemented: collision avoidance, target buffering, and sensor alignment.
  • Simulations tested the method on tumbling ellipsoidal targets under noisy conditions.
  • The proposed method allows for autonomous search, chase, and safe enclosure of uncooperative targets.
  • Maintained safe inter-agent spacing during operations with reduced communication needs.
  • Demonstrated robustness in estimating target position and geometry despite partial observability.

Abstract

• Event-triggered distributed control in autonomous spacecraft swarms. • Behavior-based local control for target autonomous search, chase, safe enclosure. • Distributed local sensing detect target motion and geometry collectively. • Robust reconstruction handles noisy, partial landmark observations. • Simulations demonstrate feasibility and scalability of swarm control. This paper presents an event-triggered behavior-inspired decentralized control framework for a spacecraft swarm tasked with capturing an unknown, uncooperative target. The proposed approach integrates local swarm behaviors, event-triggered communication and control, and distributed target perception within a unified architecture. Three local behaviors are considered: inter-agent collision avoidance, target buffering, and sensor-pointing alignment. To reduce communication burden, each agent updates and broadcasts its state only when predefined local triggering conditions are satisfied. Meanwhile, onboard sensing and neighbor-to-neighbor information exchange are used to estimate the target position, motion, and geometry without prior knowledge of the target shape. A graduated non-convexity-based perception module is adopted to improve the robustness of landmark-based target reconstruction under partial observability and noisy measurements. Numerical simulations for tumbling ellipsoidal targets demonstrate that the proposed method enables autonomous search, chase, and pre-capture enclosure while maintaining safe inter-agent spacing and reducing communication compared with periodic update strategies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69fd7e5cbfa21ec5bbf069e9https://doi.org/10.1016/j.eng.2026.04.014
Ask AI
Helpful
Bookmark
Share
View Full Paper