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基于蚁群算法的卫星磁力矩器反馈参数设计

陈士明;董云峰;   

  1. 北京航空航天大学,北京航空航天大学 北京100083,北京100083
  • 发布日期:2008-06-25

Feedback Coefficients Optimization Design Based on Ant Colony Algorithm for Magnetic Controller of Momentum Bias Satellite

Chen Shiming Dong Yunfeng (Beijing University of Aeronautics and Astronautics,Beijing 100083)   

  • Online:2008-06-25

摘要: 卫星姿态控制系统参数设计中,引入不确定性的部件误差模型可以提高系统模型的精度。针对传统优化算法处理随机因素的能力不强的情况,提出了基于蚁群算法的参数优化设计方法;并将该方法应用在某型号偏置动量轮小卫星的磁力矩器反馈控制参数设计中。与Powell方法对比,蚁群算法的寻优过程有明显的收敛趋势,这表明蚁群算法相对于传统优化算法鲁棒性好、处理随机因素能力强,可以应用在考虑随机因素的参数优化设计中。

关键词: 磁力矩器, 姿态控制系统, 优化, 蚁群算法, 卫星

Abstract: When designing feedback coefficients of satellite attitude determination and control system,the precision of the system mathematics model can be significant improved by applying uncertain component model.However,traditional optimization algorithm is insufficient in solving problems with uncertain factors.A robust feedback coefficients optimization approach based on Ant Colony Algorithm (ACA) was proposed.The method was applied to feedback coefficient design for magnetic rods of a momentum bias micro-satellite.Comparing with the traditional Powell algorithms,the new method has clear convergence tendency,which means the algorithm based on ACA has better capability in dealing with random factors,therefore,it can be used in coefficient design for a system considering random factors.