Model Predictive Control for Small Spacecraft Rendezvous with Non-cooperative Maneuvering Targets

This paper presents a two-phase model predictive control (MPC) framework for autonomous small spacecraft rendezvous with noncooperative maneuvering targets. The proposed approach employs distinct control periods and cost function weights for long-range orbit maneuvers and short-range rendezvous. To handle unknown target maneuvers, the framework integrates an adaptive filtering strategy that switches between unbiased minimum-variance input and state estimation (UMVISE) and extended Kalman filter. Simulations using a 3U CubeSat model validate the proposed control architecture. Simulation results demonstrate that the controller successfully guides a 3U CubeSat from initial separations of 925[Formula: see text]km to final rendezvous configurations. The UMVISE-MPC integrated tracking system maintains position tracking errors below 5[Formula: see text]cm during target maneuvers, enabling a successful rendezvous under the condition of noncooperative target behavior.

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Publication Details

Journal
Unmanned Systems
Published
2026-01-14
DOI
https://doi.org/10.1142/s2301385027500634
Primary Topic
Spacecraft Dynamics and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Model Predictive Control for Small Spacecraft Rendezvous with Non-cooperative Maneuvering Targets

Shangkun Liu, Liao Zhu, Jie Huang, Yutao Chen et al.
Unmanned Systems
Spacecraft Dynamics and Control
article

Model Predictive Control for Small Spacecraft Rendezvous with Non-cooperative Maneuvering Targets

Shangkun Liu, Liao Zhu, Jie Huang, Yutao Chen, Bin Xin
article en

Abstract

This paper presents a two-phase model predictive control (MPC) framework for autonomous small spacecraft rendezvous with noncooperative maneuvering targets. The proposed approach employs distinct control periods and cost function weights for long-range orbit maneuvers and short-range rendezvous. To handle unknown target maneuvers, the framework integrates an adaptive filtering strategy that switches between unbiased minimum-variance input and state estimation (UMVISE) and extended Kalman filter. Simulations using a 3U CubeSat model validate the proposed control architecture. Simulation results demonstrate that the controller successfully guides a 3U CubeSat from initial separations of 925[Formula: see text]km to final rendezvous configurations. The UMVISE-MPC integrated tracking system maintains position tracking errors below 5[Formula: see text]cm during target maneuvers, enabling a successful rendezvous under the condition of noncooperative target behavior.

Unmanned Systems
Beijing Institute of Technology (CN), Fuzhou University (CN)
Openalex Percentile: Top 91%
Spacecraft Dynamics and Control
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