摘要
针对一类低轨道磁控立方星,提出一种在线加权式多模型自适应跟踪控制方法,使得卫星姿态能够根据指令实现较大角度的机动,并将误差保持在容许的范围内,达到满意的动态性能.首先,在卫星的几个姿态平衡点处建立控制系统模型,通过模型匹配度指标值,在线调整加权式多模型控制算法;其次,在多模型控制回路中引入动态自适应神经网络,充分利用其结构和参数均可以在线自适应调节的特点,以消除卫星在轨运行时受到的地球磁场变化的影响,并抑制不确定的外部干扰,提高系统鲁棒性能;最后,以某立方星为对象,进行仿真验证,结果表明所提方法是有效的.
For a class of cube satellites using 3-axis magnetorquers in low earth orbit,an adaptive tracking control method is presented based on weighted multiple-model method,in order to make the attitude control system track the attitude variation within the tolerant error range quickly and precisely. First,mathematic models of attitude control system at different equilibriums are obtained to form multiple-model structure which can be controlled by adjusting weights online based on model-matching performance index. Next,a dynamic adaptive neural network is embedded into the multiple-model control loop to eliminate the influence of earth magnetic field variation in-orbit operation,and also deal with uncertain external disturbances to improve the robust control performance,due to the good approximating ability of dynamic neural network for uncertain nonlinear function. Finally,the numerical simulation is performed for a certain cube satellite,and the results show that the control method presented is effective.
出处
《南京信息工程大学学报（自然科学版）》
CAS
2016年第1期41-45,共5页
Journal of Nanjing University of Information Science & Technology（Natural Science Edition）
基金
国家自然科学基金(61573189)
国家自然科学基金青年项目(61403207)
江苏省自然科学基金(BK20140045)
关键词
立方星
姿态机动
加权多模型
cube satellite
attitude maneuver
weighted multiple-model
