基于IMU/FADS/无线电的火星上升器组合导航方案

以火星采样返回任务中火星表面上升为背景,研究了基于惯性测量单元（Inertial Measurement Unit, IMU）、嵌入式大气数据传感系统（Flush Air Data Sensing System, FADS）和无线电信标的组合导航方法。首先,在传统的IMU导航框架中加入由无线电测量获得的相对距离、速度信息,以及由FADS获取的动压、温度数据,建立了基于IMU、无线电和FADS的导航观测模型;然后,基于无迹卡尔曼滤波（Unscented Kalman Filter, UKF）技术对测量信息进行了融合,并压制了过程噪声和测量噪声,从而对上升器的状态进行了联合估计;最后,在数值仿真中,将UKF与自适应无迹卡尔曼滤波（Adaptive Unscented Kalman Filter, AUKF）技术进行了对比,在比较不同滤波器性能的同时,验证了组合导航方法的有效性。     

Radio beacons/IMU integrated navigation for Mars entry

High precision entry navigation capability is essential for future Mars pinpoint landing missions, together with the entry guidance and aerodynamic lift control. This paper addresses the issue of Mars entry navigation using inertial measurement unit (IMU) and orbiting or surface radiometric beacons. The range and Doppler information sensed from orbiting or surface radio beacons and the entry vehicle state information derived from IMU are integrated in Unscented Kalman filter to correct the inertial constant bias and suppress the navigation measurement noise. Computer simulations show that the integrated navigation algorithm proposed in this paper can achieve 50 m position error and 2 m/s velocity error, which satisfies the need of future pinpoint Mars landing missions.     

MCAV/IMU integrated navigation for the powered descent phase of Mars EDL

Pin-point landing is considered as a key technology for future manned Mars landing and Mars base missions. The traditional inertial navigation system (INS) based guidance, navigation and control (GNC) mode used in the Mars entry, descent and landing (EDL) phase has no ability to achieve the precise and safe Mars landing, so novel EDL GNC methodologies should be investigated to meet this goal. This paper proposes the MCAV/IMU integrated navigation scheme for the powered descent phase of Mars EDL. The Miniature Coherent Altimeter and Velocimeter (MCAV) is adopted to correct the inertial bias and drift and improve the performance of integrated navigation. Altitude and velocity information derived from MCAV and the lander’s state information sensed by inertial measurement unit (IMU) are integrated in extended Kalman filter algorithm. The validity of the proposed navigation scheme is confirmed by computer simulation.     

火星精确定点着陆多信息融合自主导航与控制方法研究

针对火星定点采样、载人登陆和基地构建等任务的需求,提出了一种火星精确定点着陆多信息融合自主导航与控制(Guidance Navigation and Control,GNC)方案。针对大气进入前的高精度导航需求,提出了基于X射线脉冲星和火星表面陆标图像的融合自主导航方法;针对火星着陆探测进入、下降和着陆(Entry,Descent and Landing,EDL)过程的高精度绝对和相对导航需求,提出了基于陆标图像、IMU(Inertial Measurement Unit)和测距测速信息的多信息融合自主导航方法;针对精确定点着陆要求,设计了大气进入和动力下降过程的制导与控制算法。数学仿真结果表明,提出的方案能够实现高精度的定点着陆(精度100 m)和相对避障(精度为0.5 m),可满足任务需求。     

Optical/radio/pulsars integrated navigation for Mars orbiter

In this paper, we address the issue of the integrated navigation algorithm with different combination of measurements for Mars orbiter. First, system dynamic model and navigation measurement models using optical measurement information, radio measurement information and X-ray pulsars measurement information are respectively established. Second, optical/radio/pulsars integrated navigation algorithm is proposed, and observability analysis of the integrated navigation system is also conducted. Third, adaptive extended Kalman filter is adopted to fuse measurement information and suppress measurement and process noise to optimally estimate the state of Mars orbiter. Monte Carlo simulation results show that optical/radio/pulsars integrated navigation can effectively improve the navigation accuracy and satisfy the navigation requirements of Mars orbiter.     

An innovative navigation scheme of powered descent phase for Mars pinpoint landing

Pinpoint landing (within 100 m from the target) is essential for future Mars exploration missions. This paper deals with one aspect of the pinpoint landing architecture—the navigation performance improvement during the powered descent phase, and proposes an innovative navigation scheme to obtain the vehicle complete and accurate states. On the basis of dead reckoning relying on the Inertial Measurement Unit, measurements of the Integrated Doppler Radar are adopted to correct the vehicle velocity and altitude. Distance between the vehicle and one Mars Orbiter as well as their line-of-sight relative velocity is measured by a radio sensor, and integrated in the filter to correct the vehicle horizontal position. The innovative navigation system is based on an Extend Kalman Filter. Two observation schemes are developed. One considers measurements of the Integrated Doppler Radar and radio range measurement. Another further considers radio velocity measurement. The performance of the innovative navigation scheme is greatly influenced by the position of the Mars Orbiter with respect to the target. Stochastic analyses are performed to obtain optimal locations of Mars Orbiter. Finally, the innovative navigation scheme performances are assessed through stochastic simulations. Its performance improvements are demonstrated by comparison with the Integrated Doppler Radar only navigation scheme.     

“天问一号”火星探测器关键任务系统设计

“天问一号”任务是我国行星探测的首次任务,在国际上首次通过一次任务实现了火星“环绕、着陆、巡视”的三步跨越.“天问一号”探测器由中国空间技术研究院负责抓总研制,包括环绕器和着陆巡视器两个组成部分.对“天问一号”探测器的任务特点和概貌进行了介绍,对包括飞行过程、远距离深空通信、火星捕获过程、火星进入下降及着陆过程、火星车解锁驶离和火面工作等关键环节的设计方案进行了描述,对“天问一号”所取得的技术成果与创新进行了总结.     

火星尘埃与探测

火星表面尘埃与太阳辐射、热辐射的相互作用直接影响火星大气的结构、热平衡和动力学过程,并会产生改变火星表面反照率和火星地貌的长期效应.火星尘埃环境还对登陆于火星表面的着陆器能源系统和光学载荷等系统构成影响.为此需开展火星大气尘埃的直接就位探测.在介绍了火星的尘埃特性与主要探测方法基础上,提出了采用微质量计技术开展火星表面尘埃就位探测的综合探测器方案.探测器包含3种传感器.尘埃累积传感器通过设置其敏感晶体表面朝上,可以探测火星表面尘埃的沉积质量与速率;荷电尘埃传感器通过加置不同极性的偏置电压,可以探测荷正电尘埃和荷负电尘埃的累积特性;磁尘传感器通过在敏感晶体后加设小型永久磁铁,可以探测磁性尘埃的累积特性.传感器感测质量范围为10^-11~10^-4g.火星尘埃综合探测器可应用于未来的火星着陆探测计划.     

基于阻力跟踪的火星大气进入段非线性预测制导律设计

针对火星探测任务大气进入段的高精度着陆问题,提出一种基于阻力跟踪的非线性预测制导策略。基于火星探测器大气进入段的三维运动模型,综合考虑探测器气动参数摄动、火星大气密度摄动、外部扰动以及进入时刻状态初值不确定性,设计了基于优化思想的非线性预测制导律,并对所提出的制导方法进行仿真验证。仿真结果表明:非线性预测制导律在满足控制约束的条件下可以获得较高的着陆精度。     

“火星科学实验室”巡航段导航、制导与控制

介绍了美国最近实施的火星着陆任务——"火星科学实验室"在巡航段的姿轨控制和导航系统、巡航轨道控制的约束条件、控制策略设计和执行过程,并对巡航段导航、制导与控制相关经验进行了分析和总结,对于我国即将展开的自主火星探测具有一定的参考价值。可以得到的启示包括:通过蒙特卡洛仿真制定详尽的轨道控制策略,对非引力作用进行精确建模并标定,细化各种故障预案,选择合适的运载火箭入轨瞄准点,并增加海外测控站。     

一种火星多模式组合探测任务设想

针对火星探测科学发现及任务创新需求,探索更先进的探测模式,提出了一种火星多模式组合探测任务设想。该任务设想的特点在于结合了轨道环绕、表面着陆、多点穿透和浮空探测,获取立体多层多源信息,一次任务实现深度科学探测。对火星开展多模式组合探测,不仅会开拓更加具有优势的火星探测新方式,发展新的探测能力和技术,也会加深对火星的全面了解,提高探测活动的综合效果。多模式探测设想不仅适用于火星,对金星、土星等地外天体探测也有很好的支撑作用。     

Scientific Objectives and Payloads of Chinese First Mars Exploration

China plans to implement the first Mars exploration mission in 2020. It will conduct global and comprehensive exploration of Mars and high precision and fine resolution detection of key areas on Mars through orbiting, landing and roving. The scientific objectives include studying the Martian morphology and geological structure characteristics, studying the soil characteristics and the water-ice distribution on the Martian surface, studying the material composition on the Martian surface, studying the atmosphere ionosphere and surface climate and environmental characteristics of Mars, studying the physical field and internal structure of Mars and the Martian magnetic field characteristics. The mission equips 12 scientific payloads to achieve these scientific objectives. This paper mainly introduces the scientific objectives, exploration task, and scientific payloads.      

China's Lunar and Deep Space Exploration Program for the Next Decade (2020-2030)

China has carried out four unmanned missions to the Moon since it launched Chang'E-1, the first lunar orbiter in 2007. With the implementation of the Chang'E-5 mission this year, the three phases of the lunar exploration program, namely orbiting, landing and returning, have been completed. In the plan of follow-up unmanned lunar exploration missions, it is planned to establish an experimental lunar research station at the lunar south pole by 2030 through the implementation of several missions, laying a foundation for the establishment of practical lunar research station in the future. China successfully launched its first Mars probe on 23 July 2020, followed in future by an asteroid mission, second Mars mission, and a mission to explore Jupiter and its moons.      

火星科学实验室着陆系统全过程GNC技术分析

基于经典火星探测任务的数据对比,以美国最近实施的火星着陆探测器"火星科学实验室"为例,对着陆全过程的导航、制导与控制(Guidance Navigation Control,GNC)系统情况进行了深入的分析和研究,对其中的关键技术进行了系统阐述。基于目前技术和发展方向,总结了典型的探测器着陆方式的研究现状,并对未来火星探测着陆段提出展望。可为中国火星以及其他行星的探测任务方案的设计与论证提供参考。     

火星探测器自主导航方法综述

火星是人类深空探测的重要目标之一,火星探测器的自主导航是探测任务的重要支撑技术。针对火星探测器自主导航方法的国内外研究现状进行综述与总结,讨论和分析了火星探测器自主导航可行的导航信标和测量手段,对自主导航算法需要研究的关键技术进行了梳理和探讨,提出了火星探测器在巡航段、捕获段和环绕段等不同阶段场景下的测量手段、自主导航方法的建议和设想。     

火星大气进入下降着陆段测控通信关键技术研究

着眼于我国首次火星探测任务着陆器EDL(Entry Descent and Landing)飞行段高风险特性,结合火星大气和地表环境分析了这一飞行阶段的主要特点和难点,系统地回顾了国外历次火星着陆任务的基本概况和任务失败的经验教训,并以美国"好奇号"着陆任务为例介绍了EDL期间可采用的主要通信手段,详细梳理了火星大气黑障段通信策略、调制体制选择以及高动态弱信号检测处理方案等测控通信需要解决的关键技术。最后对我国首次火星探测任务的关键技术攻关,任务准备和实施提出了建议。     

伪卫星/惯性组合导航的非线性补偿

伪卫星具有抗干扰能力强和布置灵活机动的特点,在增强卫星系统和独立组网为用户提供更高精度导航定位信息方面具有广阔的应用前景.研究了一种伪卫星/惯性组合导航的非线性补偿算法.由于伪卫星与用户的距离比卫星近得多,其非线性量测的影响也严重得多.采用二次项修正一定程度上弥补了传统线性化方法存在的模型误差大、滤波效果差甚至发散的问题.为避免求解非线性方程的困难使用了两步估计方法,大大降低了算法的复杂度.仿真结果表明,该算法可以显著提高伪卫星/惯性组合导航系统的性能,具有很高的实用性.     

基于视觉的无人作战飞机自主着陆导航方案

提出了基于视觉的无人作战飞机自主着陆组合导航方案.基于视觉的自主着陆 组合导航系统,可以根据视觉、惯导、高度表等传感器系统的特点,融合各机载传感器的测 量信息,在不依赖外部导航信息的情况下,得到无人作战飞机(UCAV)相对于跑道的着陆导 航信息.由于视觉信息在导航系统中的重要作用,对计算机视觉算法及其实时性进行了讨论 .对如何将视觉信息与惯导、高度表信息融合,构造多速率扩展Kalman滤波器进行了阐述. 通过自主开发的"UCAV自主着陆实时仿真验证平台"对该方案进行仿真,得到了满意的结果.      

我国首次火星探测任务

我国首次火星探测任务于2016年立项实施。综合介绍了国际火星探测的历史和现状,我国首次火星探测任务的工程目标和科学目标、总体技术方案、关键技术难点、预期创新成果。我国首次火星探测任务将通过一次发射,实现火星环绕和着陆巡视,对火星开展全球性普查和局部的精细探测,推进火星地形地貌与地质构造、土壤特征与水冰分布、表明物质组成、大气电离层和气候环境、物理场与内部构造等方面的研究。实现火星探测任务目标,针对火星探测面临的各种特殊环境,需突破长期自主管理与控制等8类关键技术,取得的一系列创新成果,将为我国建立独立自主的深空探测基础工程体系,掌握深空探测基础共性技术,形成开展深空探测的基础工程能力。     

On the observability of Mars entry navigation using radiometric measurements

A thorough observability analysis of the Mars entry navigation using radiometric measurements from ground based beacons is performed. This analysis involves the evaluation of the Fisher information matrix which is derived from the maximum likelihood estimation. A series of navigation cases with multiple beacons are investigated, and both range and range-rate measurements are considered. The determinant of Fisher information matrix is used to quantify the observability of navigation system, while the trace of Fisher information matrix is used to determine the lower-bound of estimation errors. For one and two beacon cases, the navigation system is unobservable. However, the eigenvectors of Fisher information matrix give the observable and unobservable component. When three or more beacon measurements are employed, the states of entry vehicle become observable. Some valuable analytic conclusions on the relationship between the geometric configuration of beacons and observability are obtained consequently. Finally, simulation results from two navigation examples indicate that our effort is useful for understanding and assessing the observability of the Mars entry navigation using radiometric measurements.