Contact-free release dynamics of tens of stacked satellites with multiaxial rotations

Stacked satellites have a promising application in aerospace engineering for the merits of high launch efficiency and networking capability. As one of the key technical points, releasing tens or even hundreds of satellites from the stacked state in a simple and contact-free manner is of importance. In this paper, the contact-free release dynamics of tens of stacked satellites is studied with only the initial multiaxial rotations of the system. First of all, a rigid multibody dynamic model of the stacked satellite system is established via the natural coordinate formulation (NCF). The NCF modeling scheme is able to describe the large overall motions of the satellites without any singularity and makes it possible to simplify the varying constraints between the satellites. Then, the orbital dynamics of the stacked satellite system is derived via coordinate transformation by taking the Coriolis forces, centrifugal forces, and gravity gradient into consideration. In order to rapidly and accurately detect the possible contact between satellites, a convex optimization model for minimum distance computation is proposed by using a hyperelliptic approximation for a cubic satellite. Finally, a benchmark example is given to validate the contact detection algorithm and three release dynamic cases for the stacked satellites are presented to demonstrate the effectiveness of the contact-free releasing approach with multiaxial rotations.     

某型方位旋转平台惯导系统转速模型分析与验证

某型平台惯导系统采用方位旋转调制技术,通过对台体匀速转动的控制调制陀螺的漂移。台体的转速不是固定值,是随惯导系统所在地区而改变的,且台体转速异常必伴随方位陀螺故障。为了正确判断台体转速的理论是否正常,文章推导了转速的理论计算公式,不同地区惯导系统的实测数据表明实测值与理论计算值一致,验证了转速计算公式的正确性,为监控方位陀螺状态提供了技术途径。     

旋转调制下的抗晃动干扰初始对准方法

针对晃动基座下的对准精度受限于惯性器件常值误差，提出了旋转调制下的抗晃动干扰初始对准方法。首先，分析了单轴连续旋转调制技术对常值误差的补偿机理，并在此基础上建立了晃动基座下的惯性器件输出模型;其次，详细推导了基于双重积分的惯性系粗对准算法，通过惯性坐标系下的姿态更新跟踪载体实际姿态变化消除了角晃动干扰，通过对比力进行双重积分克服了线振动影响;最后，在粗对准算法基础上，进一步建立了旋转调制下的系统状态方程和量测方程，通过反馈校正的卡尔曼滤波算法实现最优估计精对准。仿真结果表明:旋转调制下的抗晃动对准方法在克服晃动干扰的同时，能够解决对准精度受限问题，有效提高了初始对准精度。     

湿式摩擦离合器挤压过程及接合特性分析

针对湿式摩擦离合器接合过程中的挤压机理及微凸体接触问题，综合考虑摩擦片表面油槽结构，材料渗透性等因素，根据修正雷诺方程和K-E（Kogut-Etsion）接触模型，对湿式摩擦离合器的挤压过程中的动压承载力、微凸体承载力以及转矩转速变化等建模分析，并采用有限差分法对修正雷诺方程求解，对挤压过程中的油膜压缩速度、油膜厚度变化率和片间承载力等挤压特性和转速、转矩等接合特性展开了仿真分析。并采用SAE#2试验机进行了相关试验获得了转速、转矩、压力、摩擦因数等数据，与仿真分析进行了对比。结果表明：湿式摩擦离合器接合过程可分为3个阶段，通常会在1 s内完成，在0.02 s左右开始从挤压阶段经压紧阶段在0.03 s左右过渡到全微凸体接触阶段，试验与理论分析结果一致。     

阵列旋转对功率倒置算法性能的影响分析

针对卫星导航抗干扰中,功率倒置算法下导航信号载噪比受干扰来波方向的影响,通过理论推导和数值计算的方法研究了天线阵列旋转与功率倒置算法抗干扰性能的关系。分析结果表明:天线阵列旋转会使功率倒置算法下的阵列增益在最大值和最小值之间呈现连续的、周期性的变化。相比固定天线阵不变的载噪比,阵列旋转能够使信号在一段时间内获得更大的载噪比,对于四阵元Y型阵列,阵列旋转理论上对载噪比的最大提升程度可以达到14dB左右。仿真结果验证了理论推导的正确性。     

Cramér-rao lower bound for pulsar rotation parameters estimation with X-ray pulsar observation data

In this paper, the Cramér-Rao Lower Bound (CRLB) for estimating the rotation parameters of pulsars using X-ray pulsar observation data is deduced, and the calculation equation is presented. In order to verify the correctness of the deduced equation, we use the X-ray pulsar observation data to estimate pulsar rotation parameters, and obtain the root mean square error (RMSE) of the estimated pulsar rotation parameters through conducting repeated experiments. The experimental results suggest that when the observation time increases, the RMSE gradually approaches the estimated CRLB, and that when the observation time is 2.4 × 10⁶ s, the error between the RMSE of pulsar frequency estimation and the CRLB stays at 10^?11 order of magnitude. This verifies that the CRLB expression deduced in this paper is the theoretical lower bound for estimating pulsar rotation parameters. The deduced CRLB in this paper helps determine the minimum variance estimator for pulsar rotation parameter estimation using X-ray pulsar data, providing a benchmark for the comparison between the minimum variance estimator and other estimators.     

轴压载荷下薄壁整体壁板强度设计

在最佳设计面积比的情况下,整体壁板的设计可以得到较高的结构承载能力,但是对于整体壁板,蒙皮与筋条分离面的确定给实际设计工作造成很大障碍。本文针对这一问题开展了相关的研究工作,对蒙皮厚度在2.5mm～3.5mm范围内的“T”形整体壁板,在截面面积相同的条件下给定分离面位置,以最大失稳载荷为设计目标,得到蒙皮与筋条的最佳设计面积比。以此面积比设计的厚蒙皮“T”形整体壁板其承受轴压载荷的能力最强。