Distributed Event-Triggered Model Predictive Control for Spacecraft Swarm

A distributed event-triggered model predictive control strategy is proposed for large-scale spacecraft swarm. In pursuit of achieving precise formation control amidst the presence of multiple spacecraft swarm and the imperative of collision avoidance, a multiconstraint distributed model predictive control strategy is proposed. The concept of collision avoidance communication subgroups within the spacecraft swarm is presented, alongside the development of an event-triggered control update strategy aimed at mitigating the computational resource overheads incurred by individual spacecraft within the swarm. In comparison to conventional centralized model predictive control strategy, the outlined strategy significantly reduces computational resource utilization while minimizing fuel consumption, ensuring effective control of swarm formations as well as collision avoidance. In this article, we delineates the feasibility prerequisites for collision avoidance and demonstrates the stability and iterative feasibility of the proposed control strategy. Furthermore, a simulation showcasing swarm reconfiguration involving 24 member spacecraft corroborates the efficacy of the proposed control strategy.