Automating trade studies for optimal interplanetary electric propulsion missions

Conducting preliminary trade studies are critical in determining the feasibility of a mission and identifying how various spacecraft systems will scale. We develop an algorithm for automating trade studies for electric propulsion interplanetary missions. This paper optimizes trajectories with constant-power, solar-power, variable specific impulse, and constant specific impulse low thrust propulsion systems. Technological parameters and the launch vehicle are integrated into the cost function allowing for maximization of the payload mass fraction. The cost function is dimensionless to allow for scaling of the system.

Duke Scholars

Author Alec Gallimore Thomas Lord Department of Mechanical Engineering and Materia ...