Automated design architectures for co-orbiting spacecraft swarms for planetary moon mapping

This work describes the design and optimization of spacecraft swarm missions to meet spatial and temporal visual mapping requirements of missions to planetary moons, using resonant co-orbits. The algorithms described here are a part of Integrated Design Engineering and Automation of Swarms (IDEAS), a spacecraft swarm mission design software that automates the design trajectories, swarm, and spacecraft behaviors in the mission. In the current work, we focus on the swarm design and optimization features of IDEAS, while showing the interaction between the different design modules. In the design segment, we consider the coverage requirements of two general planetary moon mapping missions: global surface mapping and region of interest observation. The configuration of the swarm co-orbits for the two missions is described, where the participating spacecraft have resonant encounters with the moon on their orbital apoapsis. We relate the swarm design to trajectory design through the orbit insertion maneuver performed on the interplanetary trajectory using aero-braking. We then present algorithms to model visual coverage, and collision avoidance in the swarm. To demonstrate the interaction between different design modules, we relate the trajectory and swarm to spacecraft design through fuel mass, and mission cost estimations using preliminary models. In the optimization segment, we formulate the trajectory and swarm design optimizations for the two missions as Mixed Integer Nonlinear Programming (MINLP) problems. In the current work, we use Genetic Algorithm as the primary optimization solver. However, we also use the Particle Swarm Optimizer to compare the optimizer performance. Finally, the algorithms described here are demonstrated through numerical case studies, where the two visual mapping missions are designed to explore the Martian moon Deimos.     

A multi-criteria fusion feature selection algorithm for fault diagnosis of helicopter planetary gear train

Planetary gear train is a prominent component of helicopter transmission system and its health is of great significance for the flight safety of the helicopter. During health condition monitoring, the selection of a fault sensitive feature subset is meaningful for fault diagnosis of helicopter planetary gear train. According to actual situation, this paper proposed a multi-criteria fusion feature selection algorithm (MCFFSA) to identify an optimal feature subset from the high-dimensional original feature space. In MCFFSA, a fault feature set of multiple domains, including time domain, frequency domain and wavelet domain, is first extracted from the raw vibration dataset. Four targeted criteria are then fused by multi-objective evolutionary algorithm based on decomposition (MOEA/D) to find Proto-efficient subsets, wherein two criteria for measuring diagnostic performance are assessed by sparse Bayesian extreme learning machine (SBELM). Further, F-measure is adopted to identify the optimal feature subset, which was employed for subsequent fault diagnosis. The effectiveness of MCFFSA is validated through six fault recognition datasets from a real helicopter transmission platform. The experimental results illustrate the superiority of combination of MOEA/D and SBELM in MCFFSA, and comparative analysis demonstrates that the optimal feature subset provided by MCFFSA can achieve a better diagnosis performance than other algorithms.     

航天器外表面导电面积对朗缪尔探针科学探测的影响

朗缪尔探针的科学探测会受到航天器外表面导电面积与朗缪尔探针传感器有效面积之比大小的影响。如果航天器的外表面导电面积不足够大,朗缪尔探针以扫描电压模式工作时,就会造成航天器地电位的扰动,进而导致朗缪尔探针测量结果的偏差。分析了此问题的物理原理,并进行了相应的理论计算。子午工程探空火箭有效载荷朗缪尔探针在进行科学探测的同时,测量了火箭外表面导电面积与朗缪尔探针传感器有效面积之比不足造成的扰动,测量结果与理论分析基本一致。     

载人火星探测进展及其EDL过程GNC关键技术

随着火星探测技术的不断发展和探测任务的不断推进，载人火星探测在未来将会成为火星探测的重要手段。首先，回顾了无人火星探测任务的发展历程，对比分析了部分无人火星探测器进入、下降与着陆（EDL）过程的参数。然后，结合无人火星探测、载人月球探测和载人航天再入过程，梳理了载人火星探测的特点及需求，系统地总结了前苏联/俄罗斯和美国的载人火星探测研究进展以及技术储备。接着，归纳了载人火星探测的体系构成、集结方式和主要的技术挑战。最后，概括了载人火星EDL过程面临的难题，重点阐述了EDL的导航、制导与控制（GNC）关键技术。     

双月球近旁转向探月初步分析

分析了双月球近旁转向实现对月球多次探测的原理。基于圆锥曲线拼接法，建立了双月球近旁转向的简化数学模型．给出了一个初步分析算例，并与考虑精确动力学模型下的算例进行了比较。结果表明，该方法的结果同精确算例基本吻合，是一种有效的方法。     

Technology Progress Report for Microwave Remote Sensing

In this presentation, technological progress for China's microwave remote sensing is introduced. New developments of the microwave remote sensing instruments for China's lunar exploration satellite (Chang'E-1), meteorological satellite FY-3 and ocean dynamic measurement satellite (HY-2) are reported.     

月球表面及月壤内温度分布特征的数值模拟

文章建立了月表辐射与月壤内二维非稳态导热的耦合传热模型,采用控制容积法数值模拟月壤内的温度分布,主要研究了月表、月壤内温度的分布和变化规律及探测器对局部月表温度的影响。计算结果表明一昼夜期间月壤内存在明显的温差:浅层月壤处的昼夜温差较大且受纬度的影响明显;随着深度的增加,月壤昼夜温差降低并趋于稳定,且受纬度的影响较小。探测器的存在遮挡了月表接受的太阳辐射,导致其阴影区域内月表温度发生突变,新的平衡温度接近探测器底面温度,且受探测器驻留时间的影响较小;当探测器移开,月表温度又迅速恢复到原有的变化规律。     

行星齿轮传动的功率分流动态均衡优化设计

本文研究了浮动件支承刚度对行星齿轮功率分流动态均衡性的影响,引入功率分流动态不均衡系数K_c和动载系数 K_d,定量地描述了不同支承刚度下功率在各行星齿轮间分配不均衡程度和啮合动载荷波动程度。以浮动件支承刚度为设计变量,使 K_c和 K_d 达到极小为目标函数,采用遗传算法对 2 K -H行星齿轮传动进行了动态优化设计。研究表明:优化后的行星齿轮传动不仅固有频率有所降低,而且在工作转速附近,功率分流不均衡及动载荷皆有较大改善。      

探月工程中推进系统的初步设想

在总结国外探月活动的基础上,提出了我国探月工程中推进系统设计 的初步方案以及总体构成等,并分别就着陆器、上升舱和返回舱提出了推进系统 的初步设想,然后在此基础上提出了推进系统研制中要着重解决的几个问题。     

Two-phase framework for near-optimal multi-target Lambert rendezvous

This paper proposes a two-phase framework to obtain a near-optimal solution of multi-target Lambert rendezvous problem. The objective of the problem is to determine the minimum-cost rendezvous sequence and trajectories to visit a given set of targets within a maximum mission duration. The first phase solves a series of single-target rendezvous problems for all departure-arrival object pairs to generate the elementary solutions, which provides candidate rendezvous trajectories. The second phase formulates a variant of traveling salesman problem (TSP) using the elementary solutions prepared in the first phase and determines the final rendezvous sequence and trajectories of the multi-target rendezvous problem. The validity of the proposed optimization framework is demonstrated through an asteroid exploration case study.