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Genetic Algorithm Optimizes Q-LAW Control ParametersA document discusses a multi-objective, genetic algorithm designed to optimize Lyapunov feedback control law (Q-law) parameters in order to efficiently find Pareto-optimal solutions for low-thrust trajectories for electronic propulsion systems. These would be propellant-optimal solutions for a given flight time, or flight time optimal solutions for a given propellant requirement. The approximate solutions are used as good initial solutions for high-fidelity optimization tools. When the good initial solutions are used, the high-fidelity optimization tools quickly converge to a locally optimal solution near the initial solution. Q-law control parameters are represented as real-valued genes in the genetic algorithm. The performances of the Q-law control parameters are evaluated in the multi-objective space (flight time vs. propellant mass) and sorted by the non-dominated sorting method that assigns a better fitness value to the solutions that are dominated by a fewer number of other solutions. With the ranking result, the genetic algorithm encourages the solutions with higher fitness values to participate in the reproduction process, improving the solutions in the evolution process. The population of solutions converges to the Pareto front that is permitted within the Q-law control parameter space.
Document ID
20090016277
Acquisition Source
Jet Propulsion Laboratory
Document Type
Other - NASA Tech Brief
External Source(s)
http://www.techbriefs.com/component/content/article/2898
Authors
Lee, Seungwon (California Inst. of Tech. Pasadena, CA, United States)
von Allmen, Paul (California Inst. of Tech. Pasadena, CA, United States)
Petropoulos, Anastassios (California Inst. of Tech. Pasadena, CA, United States)
Terrile, Richard (California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
June 1, 2008
Publication Information
Publication: NASA Tech Briefs, June 2008
Subject Category
Astrodynamics
Report/Patent Number
NPO-44489
Distribution Limits
Public
Copyright
Public Use Permitted.

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IDRelationTitle20090016241Collected WorksNASA Tech Briefs, June 2008
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