基于遗传算法的空间伸展臂展开过程优化控制
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国家自然科学基金资助项目(11272166, 11472143)


Optimal control on deployment process of space deployable mast based on genetic algorithm
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    摘要:

    针对空间伸展臂展开过程建立多体系统动力学模型,并以控制力为变量建立优化控制模型,通过最优控制力的选取,使空间伸展臂得以平稳、快速展开.为了避免基于梯度的优化方法在寻找最优控制力过程中大量复杂的灵敏度计算,采用遗传算法进行全局寻优.同时,优化迭代过程中动力学方程采用高阶变分数值积分方法求解,具有更高的稳定性.最后,以剪叉式空间伸展臂为例,利用遗传算法对其展开过程进行优化控制.

    Abstract:

    The model of multibody system dynamics for the deployment process of space deployable mast is firstly established in this paper. The optimal control model is then developed by selecting thecontrol force as a variable. And the selection of the optimal control force results in the smooth and rapid deployment of the space mast. To avoid a large number of complex sensitivity calculation based on gradientbased optimization method in the process of finding optimal control force, genetic algorithm is used to search global optimization in this paper. Meanwhile, higherorder variational numerical integration method is employed to solve dynamics equation in the iterative optimization process, which leads to high stability. Finally, taking the scissor space deployable mast as an example, the genetic algorithm is utilized to control its deployment process optimally.

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刘建文,丁洁玉,耿国志.基于遗传算法的空间伸展臂展开过程优化控制[J].动力学与控制学报,2016,14(1):64~69; Liu Jianwen, Ding Jieyu, Geng Guozhi. Optimal control on deployment process of space deployable mast based on genetic algorithm[J]. Journal of Dynamics and Control,2016,14(1):64-69.

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历史
  • 收稿日期:2015-09-23
  • 最后修改日期:2015-10-29
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  • 在线发布日期: 2016-01-12
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