A Genetic Algorithm Based Approach for Pre-Collision Trajectory Optimization with Multi-Targets

Abstract:

Aiming at on-orbit capture task, a Genetic Algorithm based approach for pre-collision trajectory optimization with multi-targets is proposed in this paper. Through the analysis of task characteristics, multi-targets before collision are presented, which contain the point-to-point manoeuvre, impact pose control and impact impulse minimization. Genetic algorithm is employed to optimize the pre-collision trajectory after integrating multi-targets by setting task weight. At last, the simulation results verify the effectiveness of the proposed method.

• Periodical: Applied Mechanics and Materials (Volume 487)
• Pages: 664-669
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.487.664
• Online since: January 2014
• Authors: Long Zhang*, Qing Xuan Jia, Gang Chen, Han Xu Sun
• Keywords: Collision Dynamics, Multi-Targets, Space Manipulator, Trajectory Optimization

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