Core Concepts
MPC is effective for safe rendezvous with non-cooperative tumbling targets in space missions.
Abstract
A Model Predictive Controller (MPC) is proposed for rendezvous with non-cooperative tumbling targets in space debris removal applications. The controller considers rotational dynamics and constraints, ensuring stability and feasibility. MPC has been extensively studied for spacecraft rendezvous and formation flying, offering robustness and stability guarantees. The proposed control algorithm performs well in simulation scenarios, showing promise for real-world applications. Constraints, including LOS constraints, are handled efficiently by the controller. The design of the controller involves terminal controllers based on LQR and dead-beat regions to ensure safe operations. Feasibility constraints are derived to guarantee stable tracking of equilibrium trajectories. The controller's efficiency and safety make it suitable for embedded systems in space missions.
Stats
"The target’s three-dimensional non-periodic rotational dynamics as well as other state and control constraints are considered."
"The control law is then found as the solution to a QP problem with linear constraints and dynamics."
"The proposed control algorithm performs well in a realistic simulation scenario."
"MPCT stands out as an effective technique for this task."
"Contemporary MPC is backed by a robust theoretical foundation rooted in Lyapunov and invariant set theories."
Quotes
"The proposed control algorithm performs well in a realistic simulation scenario."
"MPCT stands out as an effective technique for this task."
"Contemporary MPC is backed by a robust theoretical foundation rooted in Lyapunov and invariant set theories."