Modeling satellite battery aging for an operational satellite simulator

During the satellite’s operations, simulation tools perform an important role in ensuring the space mission success. In this sense, the models implemented in the context of an operational satellite simulator that enables analysis of health status and maintenance during operations shall reflect the current satellite behavior with high fidelity. Moreover, it is complicated to obtain all analytical models of a satellite’s disciplines, considering its aging. This paper proposes an Artificial Neural Network (ANN) to reproduce the battery voltage behavior of a large sun-synchronous remote sensing satellite, the CBERS-4, currently in operation. Using the genetic algorithm to find the best network architecture of ANN, the neural model for this application presented an error of less than 1%, demonstrating its feasibility to obtain a high fidelity model for an operational simulator enabling extend analyses. The paper addresses advanced techniques aligned with the space industry’s future, increasing the ability to analyze a large amount of data and improve the space system’s operation.     

基于飞行参数的舰载机拦阻力统计建模与预计

拦阻钩是舰载飞机最重要的特征部件之一，对其受载进行测量、统计建模与预计具有重要的工程意义。在飞机拦阻动力学分析基础上确定了飞行数据统计建模所需的关键参数，结合某型机载荷试飞、机舰适配性试验，实测研究了飞机拦阻实际受载特点，采用线性或非线性方法统计建立了最大拦阻力与常规飞行参数之间的拟合函数关系，并得到了最大拦阻力的预计模型。建模、验模与预计结果表明，所选关键参数合理，能够充分反映拦阻钩的受载及其主要影响因素，采用纵向过载、啮合速度和发动机高压转速等参数建立的拦阻载荷统计模型可用于拦阻着陆或着舰试验时最大拦阻力的有效预测。     

轨道误差对空间站高精度时间比对的影响分析及修正方法

针对空间站飞行轨道的特点，从理论上分析了空间站轨道误差对单向和共视时间比对的影响，并通过仿真试验对理论分析结果进行校验，研究结果表明轨道误差对空间站时间比对的影响在几百皮秒量级，是影响空间站时间比对精度的主要误差源。提出一种适用于两个地面站间进行高精度时间比对的空间站轨道误差修正方法，通过仿真试验校验了该方法的有效性。试验结果表明，该方法能有效修正空间站轨道误差，实现精度在几十皮秒量级的两地面站间的超高精度时间比对，比对基线可达上千千米。     

Dual-frequency carrier smoothed code filtering with dynamical ionospheric delay modeling

In GNSS applications, carrier-smoothed-code is a widely used technique to combine code pseudo-range and carrier phase measurements. A dynamical ionospheric delay modeling method is proposed based on Kalman filter and least-squares theory. The level of the process noise is adaptively tuned along with the real-time KF state estimation, based on the online variance component estimation method. Meanwhile, the correlations of the time differenced carrier phase measurements are considered. This approach avoids overly optimistically evaluating the estimate and improves the transient accuracy of the estimates. A real GPS dataset is employed to check the performance of the proposed method under different conditions. The results show that the new algorithm can model the ionospheric delay variation well with different sampling intervals or even in ionospheric abnormal environment. The positioning accuracy can be confirmed, about 21%, 35% and 16% better are obtained in the N, E, and U direction than raw dataset.     

卫星热控系统的动态特性建模与仿真

受控对象的动态特性是卫星热控系统设计的基础,为了更加简便地进行卫星热控系统的动态特性计算,根据卫星各部分的温度变化特点及它们之间的热量传输关系,将其划分为外壳、辐射器、舱内环境、关键仪器设备以及相变蓄热装置5个集总参数热控环节,建立起各热控环节温度变化的数学模型.应用这一模型可以十分简便地计算内部热源强度及空间外热流变化时卫星各热控环节的温度变化趋势,其计算过程较常规的卫星瞬态温度场计算简单、方便,满足了对卫星热控系统进行仿真研究和控制策略优化的迫切需要,这对发展各种主动热控制技术来说具有尤其重要的意义.     

柔索并联式导弹自动抓取装置动力学仿真

针对导弹质量大、作业环境复杂等形成的难以自动装填问题,融合钢丝绳柔性浮动对位原理,对柔索并联式导弹自动抓取装置进行动态特性分析。基于有限段离散建模方法,对该抓取装置钢丝绳进行柔性体建模,进而建立了该抓取装置的多体动力学模型。通过仿真计算,分析了抓取装置和导弹模块,在处于不同的对位姿态时,钢丝绳柔性和结构接触耦合作用下,抓取装置下放-抓弹-吊弹过程中的运动和受力特性,验证了引入钢丝绳柔性环节的抓取装置方案,针对对位时姿态偏差的自适应调整能力,为该导弹自动装填系统设计提供了参考。     

数字化城市交通向导仿真的蚁群优化算法

以求解旅行商问题的蚁群算法为基础,充分考虑交通向导最佳路径的具体要求,对算法的选择机制、更新机制以及协调机制作进一步改进,引入自适应的转移策略,并融入节约法,以克服基本蚁群算法计算时间长、易出现停滞等缺陷。以湖北荆门地区车辆选择路径为研究对象,采用蚁群优化算法建立了车辆最佳路径的模型,并对其进行了仿真分析。仿真实验结果表明,优化算法比基本蚁群算法的路径更优,寻路时间更短。     

基于RBF网络的跟踪特性角对接收信号影响模型研究

在航天发射任务中,地面遥外测设备跟踪特性角（α角、β角）对接收信号质量的影响非常大,由于α角、β角影响接收信号的机理非常复杂,一直以来只进行定性分析.在研究RBF（Rradial Basis Function,径向基函数）网络的基础上,利用RBF网络建立跟踪α角、β角对接收信号的影响模型,并用已知样本数据对模型进行训练和验证,详细论证模型参数的选取方法,给出跟踪特性角对接收电平影响的量化分析和预测的一种方法.利用模型对某次发射任务设备的接收电平进行了预测,预测结果与实测结果基本相符,满足应用要求,对提高航天发射任务地面测控系统风险评估能力有重要意义.     

Modeling satellite drag coefficients with response surfaces

Satellite drag coefficients are a major source of uncertainty in predicting the drag force on satellites in low Earth orbit. Among other things, accurately predicting the orbit requires detailed knowledge of the satellite drag coefficient. Computational methods are an important tool in computing the drag coefficient but are too intensive for real-time and predictive applications. Therefore, analytic or empirical models that can accurately predict drag coefficients are desired. This work uses response surfaces to model drag coefficients. The response surface methodology is validated by developing a response surface model for the drag coefficient of a sphere where the closed-form solution is known. The response surface model performs well in predicting the drag coefficient of a sphere with a root mean square percentage error less than 0.3% over the entire parameter space. For more complex geometries, such as the GRACE satellite, the Hubble Space Telescope, and the International Space Station, the model errors are only slightly larger at about 0.9%, 0.6%, and 1.0%, respectively.