High power missions may employ more than one EP thruster and the problem of power partitioning among the thrusters becomes relevant. Space trajectories are controlled by the thrust vector. Optimization consists of finding the optimal control law for thrust magnitude and direction to maximize a specified performance index, while fulfilling given boundary conditions. The paper discusses methods to find the optimal power partitioning among the available thrusters. Different approaches based on indirect methods, direct methods, and evoutionary algorithms are presented. The paper compares the results for test cases related to missions to asteroids, and discusses merits and possible improvements.

OPTIMAL POWER PARTITIONING FOR ELECTRIC THRUSTERS / Casalino, Lorenzo; Vavrina, Matthew A.. - 162:(2018), pp. 349-362. (Intervento presentato al convegno AAS/AIAA Astrodynamics Specialist Conference tenutosi a Stevenson, WA, USA nel August 20-24, 2017).

OPTIMAL POWER PARTITIONING FOR ELECTRIC THRUSTERS

CASALINO, LORENZO;
2018

Abstract

High power missions may employ more than one EP thruster and the problem of power partitioning among the thrusters becomes relevant. Space trajectories are controlled by the thrust vector. Optimization consists of finding the optimal control law for thrust magnitude and direction to maximize a specified performance index, while fulfilling given boundary conditions. The paper discusses methods to find the optimal power partitioning among the available thrusters. Different approaches based on indirect methods, direct methods, and evoutionary algorithms are presented. The paper compares the results for test cases related to missions to asteroids, and discusses merits and possible improvements.
2018
978-0-87703-645-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2680203
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