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NASA NTRS · 20060042919

Low-thrust orbit transfer optimization with refined Q-law and multi-objective genetic algorithm

Lee, Seungwon·Petropoulos, Anastassios E.·von Allmen, Paul
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Abstract

An optimization method for low-thrust orbit transfers around a central body is developed using the Q-law and a multi-objective genetic algorithm. in the hybrid method, the Q-law generates candidate orbit transfers, and the multi-objective genetic algorithm optimizes the Q-law control parameters in order to simultaneously minimize both the consumed propellant mass and flight time of the orbit tranfer. This paper addresses the problem of finding optimal orbit transfers for low-thrust spacecraft.

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low-thrust orbit transferrefined Q-lawgenetic algorithms

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Lee, Seungwon, Petropoulos, Anastassios E., von Allmen, Paul. 2005-08-01. Low-thrust orbit transfer optimization with refined Q-law and multi-objective genetic algorithm. https://ntrs.nasa.gov/citations/20060042919

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NASA NTRS2005

Design and Optimization of Low-thrust Orbit Transfers Using Q-law and Evolutionary Algorithms

Future space missions will depend more on low-thrust propulsion (such as ion engines) thanks to its high specific impulse. Yet, the design of low-thrust trajectories is complex and challenging. Third-body perturbations often dominate the thrust, and a significant change to the orbit requires a long duration of thrust. In order to guide the early design phases, we have developed an efficient and efficacious method to obtain approximate propellant and flight-time requirements (i.e., the Pareto front) for orbit transfers. A search for the Pareto-optimal trajectories is done in two levels: optimal thrust angles and locations are determined by Q-law, while the Q-law is optimized with two evolutionary algorithms: a genetic algorithm and a simulated-annealing-related algorithm. The examples considered are several types of orbit transfers around the Earth and the asteroid Vesta.

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