Because the real input acceleration cannot be obtained during the error model identification of inertial navigation platform, both the input and output data contain noises. In this case, the conventional regression mo...Because the real input acceleration cannot be obtained during the error model identification of inertial navigation platform, both the input and output data contain noises. In this case, the conventional regression model and the least squares （LS） method will result in bias. Based on the models of inertial navigation platform error and observation error, the errors-in-variables （EV） model and the total least squares （TLS） method axe proposed to identify the error model of the inertial navigation platform. The estimation precision is improved and the result is better than the conventional regression model based LS method. The simulation results illustrate the effectiveness of the proposed method.展开更多
现代航天器通常携带大量的液体推进剂,在轨运行时推进剂的消耗将导致等效模型参数的改变.为了获取准确的等效模型参数并将其引入GNC(guidance,navigation and control)系统闭环控制,提高航天器的姿态控制精度,文章提出一种基于平方根容...现代航天器通常携带大量的液体推进剂,在轨运行时推进剂的消耗将导致等效模型参数的改变.为了获取准确的等效模型参数并将其引入GNC(guidance,navigation and control)系统闭环控制,提高航天器的姿态控制精度,文章提出一种基于平方根容积卡尔曼滤波(SR-CKF)的等效模型参数在轨辨识策略.首先,为了建立适用于金属膜片贮箱的等效模型,在等效球摆模型的悬挂点施加扭簧-阻尼器以等效金属膜片对推进剂的刚度-阻尼效应,并借助Kane方法建立了航天器刚-液耦合动力学方程.其次,针对状态反馈反步控制器中等效模型参数未知的情形,提出一种基于SR-CKF的等效模型参数在轨辨识策略.该策略可在航天器完成一次大角度姿态机动任务的同时,根据星载角速度计数据在线辨识出等效模型的各项参数以及贮箱内推进剂的剩余量,并预测出推进剂的分布运动状态.最后,数值仿真结果表明了提出的在轨辨识策略的有效性和必要性.文章的工作对于航天器GNC系统中等效模型的校准迭代、研究推进剂在轨晃动行为及预测航天器服役年限具有重要参考价值.展开更多
基金supported by the National Security Major Basic Research Project of China (973-61334).
文摘Because the real input acceleration cannot be obtained during the error model identification of inertial navigation platform, both the input and output data contain noises. In this case, the conventional regression model and the least squares （LS） method will result in bias. Based on the models of inertial navigation platform error and observation error, the errors-in-variables （EV） model and the total least squares （TLS） method axe proposed to identify the error model of the inertial navigation platform. The estimation precision is improved and the result is better than the conventional regression model based LS method. The simulation results illustrate the effectiveness of the proposed method.
文摘现代航天器通常携带大量的液体推进剂,在轨运行时推进剂的消耗将导致等效模型参数的改变.为了获取准确的等效模型参数并将其引入GNC(guidance,navigation and control)系统闭环控制,提高航天器的姿态控制精度,文章提出一种基于平方根容积卡尔曼滤波(SR-CKF)的等效模型参数在轨辨识策略.首先,为了建立适用于金属膜片贮箱的等效模型,在等效球摆模型的悬挂点施加扭簧-阻尼器以等效金属膜片对推进剂的刚度-阻尼效应,并借助Kane方法建立了航天器刚-液耦合动力学方程.其次,针对状态反馈反步控制器中等效模型参数未知的情形,提出一种基于SR-CKF的等效模型参数在轨辨识策略.该策略可在航天器完成一次大角度姿态机动任务的同时,根据星载角速度计数据在线辨识出等效模型的各项参数以及贮箱内推进剂的剩余量,并预测出推进剂的分布运动状态.最后,数值仿真结果表明了提出的在轨辨识策略的有效性和必要性.文章的工作对于航天器GNC系统中等效模型的校准迭代、研究推进剂在轨晃动行为及预测航天器服役年限具有重要参考价值.
