Evolutionary Algorithm-Aided Analysis of Divergent Discharge Channels in Low-Power Cusped Field Thrusters Using a Power Model

抄録

Cusped field thrusters are a promising technology that enables efficient and cost-effective space transportation for small spacecraft platforms owing to their design simplicity, minimal wall erosion, and extended operational lifespan achieved through high plasma confinement with permanent magnets. Due to the restriction on electron movement caused by this high plasma confinement, neutral-electron impact ionization is expected to occur mainly in the vicinity of the channel axis. Multi-objective design optimization is conducted by utilizing an improved global power model coupled with magnetostatic simulation coupled into genetic algorithms with the goal of concurrently refining thruster channel designs to improve thruster performance. An investigation into the interaction between plasma behavior and the magnetic field within low-power cusped field thrusters has identified key design factors that affect their performance. It has been observed that enhancing ionization and thruster performance can be accomplished by adjusting the divergent channel to reshape the magnetic field distribution, hence mirror ratio. Sensitivity analysis indicates that anode current is the primary design factor influencing performance, as it significantly impacts the ionization process.