带挠性附件卫星质量特性参数在轨辨识研究

发布时间：2018-01-26 19:47

本文关键词： 卫星挠性附件质量特性参数参数辨识　出处：《大连理工大学》2016年硕士论文　论文类型：学位论文

【摘要】：地面试验的方法测量卫星质量特性参数存在着成本高,精度低,质量特性参数在轨变化无能为力等问题。在轨辨识则可以解决这些问题。传统的卫星质量特性参数在轨辨识研究均是将卫星视为刚体,没有考虑挠性附件振动对质量特性参数辨识的影响。而随着卫星携带的挠性附件越来越大,卫星的大型挠性附件振动对卫星的质量特性参数在轨辨识的影响不可忽略。因此开展带挠性附件卫星质量特性参数在轨辨识研究,不仅可以准确得知卫星的质量特性参数,还可以为卫星控制系统的设计与调整提供参考依据,具有重要的应用价值。针对带挠性附件卫星质量特性参数在轨辨识的问题,本文的主要内容主要包括以下几部分：(1)研究了刚体卫星质量特性参数辨识的方法。刚体卫星质量特性参数辨识的研究是带挠性附件卫星质量特性参数辨识研究的基础,利用递推最小二乘法和多变量并发递推最小二乘法实现了刚体卫星单个或多个质量特性参数的辨识。(2)研究了卫星小角度机动情况下,卫星挠性附件振动对质量特性参数辨识的影响,并提出了带挠性附件卫星质量特性参数辨识的递推算法。算法首先推导了质量特性参数的最小二乘描述形式,之后利用卡尔曼滤波算法推导了挠性附件振动模态的状态估计,最后将质量特性参数的最小二乘描述形式和挠性附件振动模态的卡尔曼滤波相结合,形成了完整的递推算法。仿真算例验证了卫星挠性附件振动对质量特性参数辨识的影响和文中递推算法的有效性。(3)研究了卫星大角度机动情况下,带挠性附件卫星质量特性参数的辨识算法。当卫星大角度机动情况时,卫星的动力学模型存在非线性,本文提出的最小二乘和卡尔曼滤波相结合的并发递推算法并不适用。针对这一问题,本文提出了基于扩展卡尔曼滤波的带挠性附件卫星质量特性参数的辨识算法。仿真算例的结果证明了利用扩展卡尔曼滤波算法辨识带挠性附件卫星质量特性参数是有效的。
[Abstract]:The method of ground test has high cost and low precision in measuring satellite mass characteristic parameters. These problems can be solved by the on-orbit identification of the mass characteristic parameters, which can be solved by the on-orbit identification. The traditional research on the on-orbit identification of the mass characteristic parameters of the satellite is to treat the satellite as a rigid body. The effect of vibration of flexible appendages on the identification of mass characteristic parameters is not considered. However, the flexible appendages carried by satellites are becoming larger and larger. The influence of the large flexible satellite vibration on the on-orbit identification of satellite mass characteristic parameters can not be ignored. Therefore, the research on the on-orbit identification of satellite mass characteristic parameters with flexible appendages is carried out. Not only the parameters of satellite quality characteristics can be accurately obtained, but also the reference for the design and adjustment of satellite control system can be provided. It has important application value, aiming at the problem of on-orbit identification of satellite mass characteristic parameters with flexible appendages. The main contents of this paper include the following parts: 1). The method of mass characteristic parameter identification of rigid satellite is studied. The research of mass characteristic parameter identification of rigid body satellite is the foundation of mass characteristic parameter identification of satellite with flexible attachment. The recursive least square method and multivariable concurrent recursive least square method are used to identify the single or multiple mass characteristic parameters of rigid satellite. The influence of satellite flexible attachment vibration on mass characteristic parameter identification is discussed. A recursive algorithm for mass characteristic parameter identification of satellite with flexible attachment is proposed. First, the least square description of mass characteristic parameter is derived. Then the state estimation of the vibration mode of the flexible attachment is deduced by using the Kalman filter algorithm. Finally, the least square description of the mass characteristic parameters is combined with the Kalman filter of the vibration mode of the flexible attachment. A complete recursive algorithm is formed. A simulation example is given to verify the effect of the vibration of satellite flexible appendages on the identification of mass characteristic parameters and the effectiveness of the recursive algorithm in this paper. Identification algorithm of satellite mass characteristic parameters with flexible appendages. When the satellite maneuvers at large angles, the dynamic model of the satellite is nonlinear. The parallel recursive algorithm combined with least square and Kalman filter is not applicable in this paper. In this paper, an identification algorithm of satellite mass characteristic parameters with flexible attachments based on extended Kalman filter is proposed. The simulation results show that the extended Kalman filter algorithm is used to identify the satellite mass characteristic parameters with flexible attachments. Is valid.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：V416

【参考文献】