Modeling and Optimal Guidance of Plasma Plume Detumbling for Failed Spacecraft

In order to achieve efficient and high precision torque calculation, a plasma flow detumbling model based on neural network is established. To address the limitations of traditional guidance laws in handling complex tumbling targets, the principle of nutation stabilization is defined, and an optimal guidance law is designed for plasma flow direction. Simulation results indicate that the rapid dynamics model based on neural network can significantly reduce the torque calculation time while maintaining the same precision. The optimal guidance law can rapidly stabilize complex nutation target. This study significantly improves detumbling efficiency from both onorbit calculation and mission strategy, laying the theoretical foundation for onorbit service based on plasma flow.