Optimization of Control Parameters Based on Multi-Objective Genetic Algorithms for Spacecraft Large Angle Attitude

Qiang Huang; Jian Xin Zhang; Qiang Zhang; Xiao Peng Wei

doi:10.4028/www.scientific.net/AMM.538.470

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538Optimization of Control Parameters Based on...

Optimization of Control Parameters Based on Multi-Objective Genetic Algorithms for Spacecraft Large Angle Attitude

Abstract:

Based on multi-objective generic algorithms, a novel approach to optimizing control parameters for large angle spacecraft attitude was proposed. The large angle attitude maneuver controller was designed by taking the spacecraft nonlinear dynamics model and Lyapunov method. To optimize the controller parameters, the alterable weight coefficient method was adopted. Optimal value of time and power consumption acted as fitness goals of the algorithm. Simulation results showed that the algorithm proposed in this paper was superior to the traditional single-objective optimization design method.

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Periodical:

Applied Mechanics and Materials (Volume 538)

Pages:

470-475

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.538.470

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Online since:

April 2014

Authors:

Qiang Huang*, Jian Xin Zhang, Qiang Zhang, Xiao Peng Wei

Keywords:

Large Angle Attitude, Multi-Objective Genetic Algorithms, Parameter Optimization, Weighting Coefficient

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* - Corresponding Author

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