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Traceable Mapping from Mission Requirements to MPC Design in Spacecraft Rendezvous
US & West ·
The report takes a first step toward a systematic, traceable mapping between RPO mission requirements and model predictive control design choices. It uses the ADRIOS / ClearSpace-1 active debris removal mission as a case study across three sequential operations, each with its own sample time, constraint set and cost structure.
Why it matters
Shows how to formalize the translation from system-level requirements to predictive control parameters, a logic also needed when tuning models in digital twins.
arXiv:2610.29559v1 Announce Type: new Abstract: Model predictive control is a high-performance control method, but it incurs comparatively high online computational costs across many control tasks and is challenging to realize in low-level hardware settings.
arXiv:2610.29377v1 Announce Type: cross Abstract: Learning-based path planners based on diffusion and flow matching can generate diverse trajectories from demonstrations but typically lack mechanisms for constraint satisfaction and collision avoidance during deployment.
arXiv:2604.04455v3 Announce Type: replace Abstract: Nonlinear underactuated systems such as two-wheeled inverted pendulums (TWIPs) exhibit a limited region of attraction (RoA), which defines the set of initial conditions from which the closed-loop system converges to the equilibrium.
