CN112558624B - Spacecraft autonomous mission planning verification deployment integrated intelligent computing system - Google Patents

Spacecraft autonomous mission planning verification deployment integrated intelligent computing system Download PDF

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CN112558624B
CN112558624B CN202011459813.9A CN202011459813A CN112558624B CN 112558624 B CN112558624 B CN 112558624B CN 202011459813 A CN202011459813 A CN 202011459813A CN 112558624 B CN112558624 B CN 112558624B
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heterogeneous computing
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spacecraft
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CN112558624A (en
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王妍
蔡彪
蒋金哲
张锦江
范松涛
程迎坤
郭朝礼
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Beijing Institute of Control Engineering
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Abstract

The invention discloses an integrated intelligent computing system for autonomous mission planning, verification and deployment of a spacecraft, which comprises the following components: a high-performance mobile workstation unit and a high-performance heterogeneous computing unit; the high-performance mobile workstation unit downloads the compiled target code to the high-performance heterogeneous computing unit, and the compiled target code runs in the high-performance heterogeneous computing unit; a bus interface on the high-performance heterogeneous computing unit acquires the state of the spacecraft and transmits the state of the spacecraft to the high-performance mobile workstation unit; the high-performance mobile workstation unit stores and interprets the state of the spacecraft to obtain a control instruction, and transmits the control instruction to the high-performance heterogeneous computing unit; and the high-performance heterogeneous computing unit outputs the control instruction to the spacecraft related subsystem. The invention can process large data volume, can meet the algorithm time and space complexity required by intelligent calculation algorithm, has parallel calculation capability and ensures real-time performance.

Description

一种航天器自主任务规划验证部署一体式智能计算系统An integrated intelligent computing system for spacecraft autonomous mission planning, verification and deployment

技术领域Technical field

本发明属于智能计算系统技术领域,尤其涉及一种航天器自主任务规划验证部署一体式智能计算系统。The invention belongs to the technical field of intelligent computing systems, and in particular relates to an integrated intelligent computing system for spacecraft autonomous mission planning, verification and deployment.

背景技术Background technique

自主任务规划技术的实施有别于传统航天器研制模式,一方面是任务自主规划需要获取及积累大规模、多模式自身在轨状态数据,并对于大规模数据完成近实时高性能智能运算,从而获取规划结果;另一方面,上述在轨状态模式体量庞大,触发模式众多,难以依靠传统仿真手段进行有效模拟与验证遍历,不能满足任务周期的时效性,因此要求星载系统可以适应验证、部署、试验过程无缝衔接,反复迭代。而目前星载计算系统体制从上述两方面均难以满足要求。The implementation of autonomous mission planning technology is different from the traditional spacecraft development model. On the one hand, autonomous mission planning requires the acquisition and accumulation of large-scale, multi-mode own on-orbit status data, and the completion of near-real-time, high-performance intelligent computing on large-scale data, thereby Obtain planning results; on the other hand, the above-mentioned on-orbit state model is huge and has many trigger modes, making it difficult to rely on traditional simulation methods for effective simulation and verification traversal, and cannot meet the timeliness of the mission cycle. Therefore, the spaceborne system is required to be able to adapt to verification, The deployment and testing process are seamless and iterative. However, the current spaceborne computing system system is difficult to meet the requirements from the above two aspects.

发明内容Contents of the invention

本发明解决的技术问题是:克服现有技术的不足,提供了一种航天器自主任务规划验证部署一体式智能计算系统,能够进行大数据量处理,能够满足智能计算算法所需的算法时间、空间复杂度,具备并行计算能力,保证实时性能。同时在使用模式上,要能够同时兼具验证、部署职能,能够在技术验证、部署试验、修正再验证的过程中无缝衔接。The technical problem solved by the present invention is to overcome the shortcomings of the existing technology and provide an integrated intelligent computing system for spacecraft autonomous mission planning, verification and deployment, which can process large amounts of data and satisfy the algorithm time and time required by intelligent computing algorithms. Space complexity, parallel computing capabilities, and real-time performance. At the same time, in terms of usage mode, it must be able to have both verification and deployment functions at the same time, and be able to seamlessly connect in the process of technical verification, deployment testing, correction and verification.

本发明目的通过以下技术方案予以实现:一种航天器自主任务规划验证部署一体式智能计算系统,包括:高性能移动工作站单元以及高性能异构计算单元;其中,所述高性能移动工作站单元将编译后的目标代码下装到高性能异构计算单元,编译后的目标代码在高性能异构计算单元运行;高性能异构计算单元上的总线接口获取航天器状态,将航天器状态传输给高性能移动工作站单元;高性能移动工作站单元对航天器状态进行存储和判读得出控制指令,并将控制指令传输给高性能异构计算单元;高性能异构计算单元将控制指令向航天器相关分系统输出。The object of the present invention is achieved through the following technical solution: an integrated intelligent computing system for spacecraft autonomous mission planning verification and deployment, including: a high-performance mobile workstation unit and a high-performance heterogeneous computing unit; wherein the high-performance mobile workstation unit will The compiled target code is downloaded to the high-performance heterogeneous computing unit, and the compiled target code runs on the high-performance heterogeneous computing unit; the bus interface on the high-performance heterogeneous computing unit obtains the spacecraft status and transmits the spacecraft status to The high-performance mobile workstation unit; the high-performance mobile workstation unit stores and interprets the status of the spacecraft to obtain control instructions, and transmits the control instructions to the high-performance heterogeneous computing unit; the high-performance heterogeneous computing unit transmits the control instructions to the spacecraft-related Sub-system output.

上述航天器自主任务规划验证部署一体式智能计算系统中,高性能异构计算单元上的总线接口获取航天器状态,高性能异构计算单元根据航天器状态运算得出控制指令,高性能异构计算单元的总线系统向航天器相关分系统输出控制指令;高性能移动工作站单元通过其上的wifi、有线以太网或thunderblot总线与高性能异构计算单元或航天器分系统进行通信,用于监视高性能异构计算单元独立运行飞控程序时的数据。In the above-mentioned spacecraft autonomous mission planning verification deployment integrated intelligent computing system, the bus interface on the high-performance heterogeneous computing unit obtains the spacecraft status, and the high-performance heterogeneous computing unit calculates the control instructions based on the spacecraft status. The high-performance heterogeneous computing unit The bus system of the computing unit outputs control instructions to the relevant subsystems of the spacecraft; the high-performance mobile workstation unit communicates with the high-performance heterogeneous computing unit or spacecraft subsystem through its wifi, wired Ethernet or thunderblot bus for monitoring Data when high-performance heterogeneous computing units independently run flight control programs.

上述航天器自主任务规划验证部署一体式智能计算系统中,所述高性能异构计算单元包括图像处理器、第一中央处理器、第二中央处理器、可编程门阵列、存储器、高速内部总线、1553B总线、百/千兆以太网和数据转换采集接口;其中,第一中央处理器通过高速内部总线、1553B总线、百/千兆以太网和数据转换采集接口获取航天器平台状态数据;其中,航天器平台状态数据包括图形图像数据、大规模时序数据和事件类数据;第一中央处理器将图形图像数据通过高速内部总线传送给图像处理器,图像处理器对图形图像数据进行运算,而后由图像处理器将运算结果通过高速内部总线返回给第一中央处理器;第一中央处理器将大规模时序数据通过高速内部总线传送给可编程门阵列进行处理,而后由可编程门阵列将处理结果通过高速内部总线返回给第一中央处理器;第一中央处理器将事件类数据通过高速内部总线传送给第二中央处理器进行处理,而后由第二中央处理器将处理结果通过高速内部总线返回给第一中央处理器;第一中央处理器根据第二中央处理器返回的处理结果、图像处理器返回的运算结果以及可编程门阵列返回的处理结果完成信息处理。In the above-mentioned spacecraft autonomous mission planning, verification and deployment integrated intelligent computing system, the high-performance heterogeneous computing unit includes an image processor, a first central processing unit, a second central processing unit, a programmable gate array, a memory, and a high-speed internal bus , 1553B bus, 100/Gigabit Ethernet and data conversion and acquisition interface; among them, the first central processor obtains the spacecraft platform status data through the high-speed internal bus, 1553B bus, 100/Gigabit Ethernet and data conversion and acquisition interface; wherein , the spacecraft platform status data includes graphic image data, large-scale time series data and event data; the first central processor transmits the graphic image data to the image processor through a high-speed internal bus, and the image processor performs operations on the graphic image data, and then The image processor returns the operation results to the first central processor through the high-speed internal bus; the first central processor transmits large-scale timing data to the programmable gate array for processing through the high-speed internal bus, and then the programmable gate array processes The results are returned to the first central processor through the high-speed internal bus; the first central processor transmits the event data to the second central processor through the high-speed internal bus for processing, and then the second central processor transmits the processing results through the high-speed internal bus Return to the first central processor; the first central processor completes information processing based on the processing results returned by the second central processor, the operation results returned by the image processor, and the processing results returned by the programmable gate array.

本发明与现有技术相比具有如下有益效果:Compared with the prior art, the present invention has the following beneficial effects:

(1)本发明通过高性能计算单元和异构计算单元的组合设计,将人机交互验证环节、快速接入系统特有接口等多种功能结合,设计出了分立、联立下的不同工作模式,达到了适应验证阶段和部署运行阶段不同使用需求的效果,为适用于独立介入系统担任自主运行规划机奠定了基础。(1) Through the combined design of high-performance computing units and heterogeneous computing units, the present invention combines various functions such as human-computer interaction verification links and quick access system unique interfaces, and designs different working modes in separate and combined modes. , achieves the effect of adapting to different usage requirements in the verification stage and deployment operation stage, and lays the foundation for being suitable for independent intervention systems to serve as autonomous operation planning machines.

(2)本发明通过高性能通用计算单元,达到了支持人机交互、同步地面研发环境、部署开发系统、完成训练智能控制或规划模型等大规模计算任务、完成大规模试验数据存储的效果。(2) Through high-performance general-purpose computing units, the present invention achieves the effects of supporting human-computer interaction, synchronizing ground research and development environments, deploying development systems, completing large-scale computing tasks such as training intelligent control or planning models, and completing large-scale test data storage.

(3)本发明通过高性能异构计算单元的可扩展I/O模块,大道理可拓展出常用航天器总线形式的效果,包括1553B总线、GigE总线、WIFI等,可与航天器其它分系统进行数据通信,同时可与高性能通用计算单元单元进行数据交互。(3) Through the scalable I/O module of the high-performance heterogeneous computing unit, the present invention can expand the effects of commonly used spacecraft bus forms, including 1553B bus, GigE bus, WIFI, etc., and can be integrated with other subsystems of the spacecraft. Perform data communication and interact with high-performance general-purpose computing units.

(4)本发明通过高性能计算单元和异构计算单元的组合设计,达到了支持不同应用模式的效果,可联立、也可分立完成自主规划及智能控制任务。联立形式下,异构计算单元可作为高性能通用计算单元的加速运算器以及外系统1553B总线等接口模块使用;分立形式下,异构计算单元可作为高性能星载计算机角色,其上部署训练、验证后规划控制应用程序,实际与传感器、其他分系统进行交互运行,对算法、程序进行部署运行、验证。(4) Through the combined design of high-performance computing units and heterogeneous computing units, the present invention achieves the effect of supporting different application modes, and can complete independent planning and intelligent control tasks jointly or separately. In the joint mode, the heterogeneous computing unit can be used as an accelerator of a high-performance general-purpose computing unit and as an interface module such as the external system 1553B bus; in a discrete mode, the heterogeneous computing unit can be used as a high-performance spaceborne computer on which to deploy After training and verification, the control application is planned and actually interacts with sensors and other subsystems to deploy, run, and verify algorithms and programs.

附图说明Description of the drawings

通过阅读下文优选实施方式的详细描述,各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的,而并不认为是对本发明的限制。而且在整个附图中,用相同的参考符号表示相同的部件。在附图中:Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be construed as limiting the invention. Also throughout the drawings, the same reference characters are used to designate the same components. In the attached picture:

图1是本发明实施例提供的航天器自主任务规划验证部署一体式智能计算系统运行状态的信息流示意图;Figure 1 is a schematic diagram of the information flow of the operating status of the spacecraft autonomous mission planning, verification and deployment integrated intelligent computing system provided by an embodiment of the present invention;

图2是本发明实施例提供的航天器自主任务规划验证部署一体式智能计算系统三种运行模式的使用示意图;Figure 2 is a schematic diagram of the use of three operating modes of the spacecraft autonomous mission planning, verification and deployment integrated intelligent computing system provided by the embodiment of the present invention;

图3是本发明实施例提供的高性能移动工作站系统软件组成示意图;Figure 3 is a schematic diagram of the software composition of a high-performance mobile workstation system provided by an embodiment of the present invention;

图4是本发明实施例提供的高性能异构计算单元的组成示意图;Figure 4 is a schematic diagram of the composition of a high-performance heterogeneous computing unit provided by an embodiment of the present invention;

图5是本发明实施例提供的高性能异构计算单元系统软件组成示意图。Figure 5 is a schematic diagram of the software composition of a high-performance heterogeneous computing unit system provided by an embodiment of the present invention.

具体实施方式Detailed ways

下面将参照附图更详细地描述本公开的示例性实施例。虽然附图中显示了本公开的示例性实施例,然而应当理解,可以以各种形式实现本公开而不应被这里阐述的实施例所限制。相反,提供这些实施例是为了能够更透彻地理解本公开,并且能够将本公开的范围完整的传达给本领域的技术人员。需要说明的是,在不冲突的情况下,本发明中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本发明。Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a thorough understanding of the disclosure, and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, as long as there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and embodiments.

图1是本发明实施例提供的航天器自主任务规划验证部署一体式智能计算系统运行状态的信息流示意图。如图1所示,该航天器自主任务规划验证部署一体式智能计算系统包括:高性能移动工作站单元以及高性能异构计算单元;其中,所述高性能移动工作站单元将编译后的目标代码下装到高性能异构计算单元,编译后的目标代码在高性能异构计算单元运行;高性能异构计算单元上的总线接口获取航天器状态,将航天器状态传输给高性能移动工作站单元;高性能移动工作站单元对航天器状态进行存储和判读得出控制指令,并将控制指令传输给高性能异构计算单元;高性能异构计算单元将控制指令向航天器相关分系统输出。Figure 1 is a schematic diagram of the information flow of the operating status of the spacecraft autonomous mission planning, verification and deployment integrated intelligent computing system provided by an embodiment of the present invention. As shown in Figure 1, the spacecraft autonomous mission planning verification deployment integrated intelligent computing system includes: a high-performance mobile workstation unit and a high-performance heterogeneous computing unit; wherein the high-performance mobile workstation unit downloads the compiled target code Installed into the high-performance heterogeneous computing unit, the compiled target code is run on the high-performance heterogeneous computing unit; the bus interface on the high-performance heterogeneous computing unit obtains the spacecraft status and transmits the spacecraft status to the high-performance mobile workstation unit; The high-performance mobile workstation unit stores and interprets the status of the spacecraft to obtain control instructions, and transmits the control instructions to the high-performance heterogeneous computing unit; the high-performance heterogeneous computing unit outputs the control instructions to the relevant subsystems of the spacecraft.

高性能异构计算单元上的总线接口获取航天器状态,高性能异构计算单元根据航天器状态运算得出控制指令,高性能异构计算单元的总线系统向航天器相关分系统输出控制指令;高性能移动工作站单元通过其上的wifi、有线以太网或thunderblot总线与高性能异构计算单元或航天器分系统进行通信,用于监视高性能异构计算单元独立运行飞控程序时的数据。The bus interface on the high-performance heterogeneous computing unit obtains the spacecraft status, the high-performance heterogeneous computing unit calculates the control instructions based on the spacecraft status, and the bus system of the high-performance heterogeneous computing unit outputs control instructions to the relevant subsystems of the spacecraft; The high-performance mobile workstation unit communicates with the high-performance heterogeneous computing unit or spacecraft subsystem through its WiFi, wired Ethernet or thunderblot bus, and is used to monitor data when the high-performance heterogeneous computing unit independently runs the flight control program.

高性能移动工作站单元以及高性能异构计算单元两部分组成,之间通过机械接口、高速总线接口进行组合连接。在不同应用模式下,可联立、亦可分立完成自主规划及智能控制任务,实现研发试验模式、研发验证模式、部署运行模式。It is composed of a high-performance mobile workstation unit and a high-performance heterogeneous computing unit, which are connected through a mechanical interface and a high-speed bus interface. In different application modes, independent planning and intelligent control tasks can be completed jointly or separately to achieve R&D test mode, R&D verification mode, and deployment operation mode.

其中,系统处于研发试验模式时,主要利用安装于高性能移动工作站单元内的开发环境,如MATLAB、VisualStudio、LabVIEW等,进行智能算法、自主程序原型的研发或仿真、自主控制模型;同时高性能异构计算单元处于协处理器与外系统扩展接口角色,负责协助移动工作站单元加速计算、提供数据通信能力,工作站单元提供人机接口,供航天员介入操作。Among them, when the system is in R&D test mode, it mainly uses development environments installed in high-performance mobile workstation units, such as MATLAB, Visual Studio, LabVIEW, etc., to conduct research and development or simulation of intelligent algorithms, independent program prototypes, and independent control models; at the same time, high-performance The heterogeneous computing unit plays the role of an extended interface between the co-processor and external systems. It is responsible for assisting the mobile workstation unit in accelerating calculations and providing data communication capabilities. The workstation unit provides a human-machine interface for astronauts to intervene in operations.

其中,系统处于研发验证模式时,利用高性能移动工作站单元内的开发部署程序,可将编译后的目标代码下装到异构计算单元,目标代码在异构计算单元内运行,同时移动工作站单元可运行监视软件与异构计算单元通信,通过高性能异构计算单元上的总线接口获取航天器状态,获取试验数据,高性能移动工作站单元对试验结果进行存储、传输、判读,得出控制指令,高性能移动工作站单元将输出的控制指令通过高性能异构计算单元的总线系统向航天器相关分系统输出。工作站单元提供人机接口,可供航天员介入操作。Among them, when the system is in R&D verification mode, the compiled target code can be downloaded to the heterogeneous computing unit using the development and deployment program in the high-performance mobile workstation unit. The target code runs in the heterogeneous computing unit while the mobile workstation unit The executable monitoring software communicates with the heterogeneous computing unit, obtains the spacecraft status and test data through the bus interface on the high-performance heterogeneous computing unit, and the high-performance mobile workstation unit stores, transmits, and interprets the test results, and obtains control instructions. , the high-performance mobile workstation unit outputs the output control instructions to the relevant subsystems of the spacecraft through the bus system of the high-performance heterogeneous computing unit. The workstation unit provides a human-machine interface for astronauts to intervene in operations.

其中,系统处于部署运行模式时,高性能异构计算单元、高性能移动工作站单元处于分立状态。高性能异构计算单元内已部署编译优化后的实际自主飞行程序,异构计算单元通过数据总线与航天器各分系统进行数据通信,进行实际自主规划与智能控制。通过高性能异构计算单元的总线系统向航天器相关分系统输出控制指令,这种情况下,高性能移动工作站单元可以通过其上的wifi或有线以太网或thunderblot总线与异构计算单元或航天器分系统进行通信,用于监视异构计算单元独立运行飞控程序时的数据。Among them, when the system is in deployment operation mode, the high-performance heterogeneous computing unit and the high-performance mobile workstation unit are in a separate state. The compiled and optimized actual autonomous flight program has been deployed in the high-performance heterogeneous computing unit. The heterogeneous computing unit communicates with each subsystem of the spacecraft through the data bus to perform actual autonomous planning and intelligent control. Control instructions are output to the spacecraft-related subsystems through the bus system of high-performance heterogeneous computing units. In this case, the high-performance mobile workstation unit can communicate with the heterogeneous computing units or spacecraft through the wifi or wired Ethernet or thunderblot bus on it. The computer communicates with subsystems and is used to monitor data when heterogeneous computing units independently run flight control programs.

高性能移动工作站单元为高性能计算平台以及系统主要的人机交互接口,可通过IA64 Intel架构平台支撑,其上部署虚拟机系统,可灵活部署Windows或Linux操作系统,可运行与地面研发环境相一致的,如Matlab、Visual Studio、GCC等开发环境,可与地面试验环境进行同步匹配;支持诸如Caffe、Tensorflow、CUDA等开发库,用于开展大规模数据融合计算、机器学习、智能控制模型训练等试验验证工作;拥有大容量固态硬盘,可以存储过程数据。高性能移动工作站通过Thunderbolt总线与高性能异构计算单元进行数据通信,带宽40Gbps,从而扩展出运算加速资源、扩展I/O资源(如1553B、AD、DA等),同时可将计算验证后的自主飞控程序通过开发环境部署至异构计算单元内,由异构计算单元单独承担任务,工作站作为监控上位机,通过wifi或有线以太网或thunderblot总线与异构计算单元或数管分系统、遥测分系统进行通信,监视异构计算单元独立运行飞控程序时的数据。The high-performance mobile workstation unit is a high-performance computing platform and the main human-computer interaction interface of the system. It can be supported by the IA64 Intel architecture platform. A virtual machine system can be deployed on it. Windows or Linux operating systems can be flexibly deployed and can run in conjunction with the ground R&D environment. Consistent, development environments such as Matlab, Visual Studio, GCC, etc. can be synchronized with the ground test environment; support development libraries such as Caffe, Tensorflow, CUDA, etc., for large-scale data fusion calculations, machine learning, and intelligent control model training and other test verification work; it has a large-capacity solid-state drive that can store process data. The high-performance mobile workstation communicates data with the high-performance heterogeneous computing unit through the Thunderbolt bus, with a bandwidth of 40Gbps, thereby expanding computing acceleration resources and expanding I/O resources (such as 1553B, AD, DA, etc.), and at the same time, the calculated and verified The autonomous flight control program is deployed to the heterogeneous computing unit through the development environment, and the heterogeneous computing unit independently undertakes the task. The workstation serves as a monitoring host computer and communicates with the heterogeneous computing unit or data management subsystem through wifi or wired Ethernet or thunderblot bus. The telemetry subsystem communicates and monitors data when the heterogeneous computing units independently run the flight control program.

高性能异构计算单元包括图像处理器、第一中央处理器1、第二中央处理器2、可编程门阵列、存储器、高速内部总线、1553B总线、百/千兆以太网和数据转换采集接口;其中,The high-performance heterogeneous computing unit includes an image processor, a first central processing unit 1, a second central processing unit 2, a programmable gate array, a memory, a high-speed internal bus, a 1553B bus, a 100/gigabit Ethernet, and a data conversion and acquisition interface. ;in,

高性能移动工作站单元运行有编译及综合软件组合,编译及综合软件组合将程序编译及综合后,将分别生成运行于中央处理器1、中央处理器2的中央处理器机器码文件,运行于可编程门阵列的时序逻辑文件,以及运行于图像处理器的机器码文件;而后通过thunderbolt总线传输至高性能异构计算机,由该单元将上述文件分别存储于存储器内,存储器的存放位置对应于中央处理器1存储区、中央处理器2存储区、可编程门阵列存储区以及图像处理器存储区,高性能异构计算单元中各组件上电或重启后,分别从对应区域进行文件加载。The high-performance mobile workstation unit runs a compilation and synthesis software combination. After the compilation and synthesis software combination compiles and synthesizes the program, it will generate CPU machine code files that run on the CPU 1 and 2 respectively. The sequential logic files of the programming gate array and the machine code files running on the image processor are then transmitted to the high-performance heterogeneous computer through the thunderbolt bus. The unit stores the above files in the memory respectively. The storage location of the memory corresponds to the central processing unit. The storage area of the CPU 1, the storage area of the CPU 2, the programmable gate array storage area and the image processor storage area. After each component in the high-performance heterogeneous computing unit is powered on or restarted, files are loaded from the corresponding areas.

中央处理器1运行其存储区内程序,完成挂载于中央处理器1的1553总线接口芯片、百/千兆以太网、数据转换采集接口电路获取航天器平台状态数据。The central processor 1 runs the program in its storage area and completes the 1553 bus interface chip, 100/gigabit Ethernet, and data conversion and acquisition interface circuits mounted on the central processor 1 to obtain the spacecraft platform status data.

中央处理器1在获取数据后,将图形图像数据通过高速内部总线传送给图像处理器,图像处理器对图像进行运算,而后由图像处理器将运算结果通过高速内部总线返回给中央处理器1;将大规模时序数据通过高速内部总线传送给可编程门阵列进行处理,而后由可编程门阵列将运算结果通过高速内部总线会给中央处理器1;将事件类数据通过高速内部总线传送给中央处理器2进行处理,而后由中央处理器2将运算结果通过高速内部总线返回给中央处理器1;最后,中央处理器1完成对中央处理器2、图像处理器以及可编程门阵列返回数据的综合计算,从而完成信息处理。After acquiring the data, the central processing unit 1 transmits the graphic image data to the image processor through the high-speed internal bus. The image processor performs operations on the image, and then the image processor returns the operation results to the central processor 1 through the high-speed internal bus; The large-scale timing data is transmitted to the programmable gate array through the high-speed internal bus for processing, and then the programmable gate array sends the operation results to the central processor 1 through the high-speed internal bus; the event data is transmitted to the central processing unit through the high-speed internal bus. 2 performs processing, and then the central processor 2 returns the operation results to the central processor 1 through the high-speed internal bus; finally, the central processor 1 completes the synthesis of the data returned by the central processor 2, the image processor and the programmable gate array calculation to complete information processing.

高性能异构计算单元具备中央处理器1/2、高性能图像处理器以及大规模FPGA资源以及可扩展的I/O接口能力。在联立工作模式下,通过机械接口与工作站单元组合,通过Thunderbolt总线进行电气连接,与移动工作站进行数据通信,此模式作为并行计算资源使用。在独立工作模式下,可以作为未来高性能异构星载计算机使用,可部署具备高并发、大规模数据、复杂并行实时特性的自主系统。其中,中央处理器用于部署运行程序所用的运行库、文件系统以及驱动程序;高性能图像处理器模块主要用于计算的加速与大规模高性能运算,例如:算法的试验验证过程可以在高性能移动工作站上使用DIGITS接口训练深度学习模型,然后运用JetPack搭载的高性能推理引擎TensorRT将训练完成的模型部署到高性能图像处理器。高性能图像处理器用于与中央处理器1协作运行,完成计算的加速与大规模高性能运算;现场可编程门阵列用于特定运算逻辑、特定加速运算单元等,由中央处理器2统一管理加载时序,为大规模、高性能现场可编程门阵列产品。其中,可扩展I/O模块可扩展任务所需的I/O接口资源,特别是与外系统通信所需的总线I/O,如1553B接口、可自定义协议的高性能千兆以太网接口、WIFI,可实现移动工作站、异构计算单元通过点对点方式,高速、高带宽与扩展I/O进行数据通信。The high-performance heterogeneous computing unit has central processing unit 1/2, high-performance image processor, large-scale FPGA resources and scalable I/O interface capabilities. In the joint working mode, it is combined with the workstation unit through the mechanical interface, electrically connected through the Thunderbolt bus, and performs data communication with the mobile workstation. This mode is used as a parallel computing resource. In independent working mode, it can be used as a future high-performance heterogeneous spaceborne computer, and can deploy autonomous systems with high concurrency, large-scale data, and complex parallel real-time characteristics. Among them, the central processing unit is used to deploy the runtime library, file system and driver used to run the program; the high-performance image processor module is mainly used for calculation acceleration and large-scale high-performance computing. For example: the experimental verification process of the algorithm can be performed in high-performance Use the DIGITS interface to train the deep learning model on the mobile workstation, and then use the high-performance inference engine TensorRT equipped with JetPack to deploy the trained model to a high-performance image processor. The high-performance image processor is used to operate in cooperation with the central processor 1 to complete calculation acceleration and large-scale high-performance operations; the field programmable gate array is used for specific operation logic, specific acceleration operation units, etc., and is managed and loaded by the central processor 2 in a unified manner Timing is a large-scale, high-performance field programmable gate array product. Among them, the scalable I/O module can expand the I/O interface resources required for tasks, especially the bus I/O required for communication with external systems, such as the 1553B interface and the high-performance Gigabit Ethernet interface with customizable protocols. , WIFI can realize data communication between mobile workstations and heterogeneous computing units through point-to-point, high-speed, high-bandwidth and extended I/O.

如图1所示,该航天器自主任务规划验证部署一体式智能计算系统由高性能通用计算单元、高性能异构计算单元两部分组成,之间通过机械接口、高速总线接口进行组合连接,其上运行自主智能控制支撑软件,如图1所示。在软件的驱动下,航天器自主任务规划验证部署一体式智能计算系统可以通过高性能异构计算单元扩展出满足航天器使用要求的总线,完成与航天器各分系统进行数据通信,获取航天器敏感器、航天器执行机构、以及相关分系统的系统状态,并送给自主规划及智能控制系统进行运算,进行自主任务规划,而后将规划结果转化为航天器相关指令序列并通过总线系统对航天器相关分系统输出控制信号。此外,航天器自主任务规划验证部署一体式智能计算系统可以通过高性能通用计算单元接收航天员指令,实现人机交互、同步地面研发环境、部署开发系统,完成训练智能控制或规划模型等大规模计算任务,完成大规模试验数据存储。As shown in Figure 1, the spacecraft autonomous mission planning, verification and deployment integrated intelligent computing system consists of a high-performance general computing unit and a high-performance heterogeneous computing unit, which are connected through a mechanical interface and a high-speed bus interface. Run autonomous intelligent control support software on the system, as shown in Figure 1. Driven by software, the spacecraft autonomous mission planning, verification and deployment integrated intelligent computing system can expand the bus that meets the requirements of the spacecraft through high-performance heterogeneous computing units, complete data communication with each subsystem of the spacecraft, and obtain the spacecraft The system status of sensors, spacecraft actuators, and related subsystems is sent to the autonomous planning and intelligent control system for calculation and autonomous mission planning, and then the planning results are converted into spacecraft-related command sequences and processed through the bus system. The device-related subsystem outputs control signals. In addition, the integrated intelligent computing system for spacecraft autonomous mission planning, verification and deployment can receive astronaut instructions through high-performance general-purpose computing units, achieve human-computer interaction, synchronize ground research and development environments, deploy development systems, and complete large-scale training of intelligent control or planning models, etc. Compute tasks and complete large-scale test data storage.

如图2所示,高性能通用计算单元、高性能异构计算单元可联立、亦可分立完成自主规划及智能控制任务,可应对三种应用模式:As shown in Figure 2, high-performance general computing units and high-performance heterogeneous computing units can be connected or separated to complete independent planning and intelligent control tasks, and can cope with three application modes:

①研发试验模式:系统处于研发试验模式,主要利用安装于高性能通用计算单元内的开发环境进行智能算法、自主程序原型的研发或仿真、自主控制模型;同时高性能异构计算单元处于协处理器与外系统扩展接口角色,负责协助高性能通用计算单元单元加速计算、提供数据通信能力,工作站单元提供人机接口,供航天员介入操作。① R&D test mode: The system is in R&D test mode, mainly using the development environment installed in the high-performance general-purpose computing unit to conduct research and development or simulation of intelligent algorithms, independent program prototypes, and independent control models; at the same time, the high-performance heterogeneous computing unit is in co-processing It plays the role of an extended interface between the computer and external systems, and is responsible for assisting the high-performance general-purpose computing unit unit in accelerating calculations and providing data communication capabilities. The workstation unit provides a human-machine interface for astronauts to intervene in operations.

②研发验证模式:系统处于研发验证模式时,将高性能异构计算单元视为高性能星载计算机。利用高性能通用计算单元内的开发部署程序,可将编译后的目标代码下装到异构计算单元,目标代码在异构计算单元内运行,同时高性能通用计算单元单元可运行监视软件与异构计算单元通信,获取试验数据,对试验结果进行存储、传输、判读,工作站单元提供人机接口,供航天员介入操作。② R&D verification mode: When the system is in R&D verification mode, the high-performance heterogeneous computing unit is regarded as a high-performance spaceborne computer. Using the development and deployment program in the high-performance general-purpose computing unit, the compiled target code can be downloaded to the heterogeneous computing unit. The target code runs in the heterogeneous computing unit. At the same time, the high-performance general-purpose computing unit can run monitoring software and heterogeneous computing units. The computing unit communicates with the computer to obtain test data, and stores, transmits, and interprets test results. The workstation unit provides a human-machine interface for astronauts to intervene.

③部署运行模式:系统处于部署运行模式时,高性能异构计算单元、高性能星载计算机处于分立状态。异构计算单元内已部署编译优化后的实际自主飞行程序,异构计算单元通过数据总线与各分系统进行数据通信,进行实际自主规划与智能控制。③ Deployment operation mode: When the system is in the deployment operation mode, the high-performance heterogeneous computing unit and the high-performance space-borne computer are in a separate state. The compiled and optimized actual autonomous flight program has been deployed in the heterogeneous computing unit. The heterogeneous computing unit communicates with each subsystem through the data bus to perform actual autonomous planning and intelligent control.

如图3所示,高性能移动工作站主要用于在线部署研发环境,支撑试验验证任务,其特点为运行非实时、大规模高性能运算任务,部署试验、验证过程所需开发环境,运行异构计算平台所需的程序部署环境。As shown in Figure 3, high-performance mobile workstations are mainly used to deploy R&D environments online and support test verification tasks. They are characterized by running non-real-time, large-scale high-performance computing tasks, deploying development environments required for test and verification processes, and running heterogeneous The program deployment environment required by the computing platform.

通过IA64 Intel架构平台支撑,其上部署虚拟机系统,灵活部署货架式成熟操作系统;部署与地面研发平台一致的开发库,与地面试验环境进行同步匹配,用于开展大规模数据融合计算、机器学习、智能控制模型训练等试验验证工作;配备大容量存储器,可以存储过程数据;通过内部高速总线与高性能异构计算单元进行数据通信,从而通过异构计算单元扩展出运算加速资源、扩展I/O资源(如1553B、AD、DA等);将计算验证后的自主飞控程序通过开发环境部署至异构计算单元内,由异构计算单元单独承担任务;通过高速总线与异构计算单元以及各分系统进行通信,监视异构计算单元独立运行飞控程序时的数据;高性能移动工作站主要分为两个工作状态,分别为在轨运行状态和地面协同状态。Supported by the IA64 Intel architecture platform, a virtual machine system is deployed on it to flexibly deploy a shelf-style mature operating system; a development library consistent with the ground R&D platform is deployed to synchronize with the ground test environment for large-scale data fusion computing, machine Learning, intelligent control model training and other experimental verification work; equipped with large-capacity memory, which can store process data; perform data communication with high-performance heterogeneous computing units through internal high-speed buses, thereby expanding computing acceleration resources and expanding I through heterogeneous computing units /O resources (such as 1553B, AD, DA, etc.); deploy the autonomous flight control program after calculation and verification to the heterogeneous computing unit through the development environment, and the heterogeneous computing unit independently undertakes the task; communicate with the heterogeneous computing unit through a high-speed bus And each sub-system communicates and monitors the data when the heterogeneous computing units independently run the flight control program; the high-performance mobile workstation is mainly divided into two working states, namely the on-orbit operating state and the ground collaboration state.

在轨运行状态On-orbit operating status

在轨运行状态中,高性能移动工作站主要运行应用程序,需要配备基本项包括操作系统、文件及存储;In the orbital operating state, high-performance mobile workstations mainly run applications and need to be equipped with basic items including operating systems, files and storage;

应用程序:部署试验程序、验证程序、运行非实时自主程序。Applications: Deploy test programs, verify programs, run non-real-time autonomous programs.

操作系统:主要部署可用于支撑应用软件运行的必要运行库、运行环境的操作系统,本设计采用Windows系统作为操作系统软件。Operating system: It mainly deploys the operating system that can be used to support the necessary runtime libraries and operating environment for running application software. This design uses Windows system as the operating system software.

文件及存储:部署用于数据存储的数据库。Files and Storage: Deploy a database for data storage.

地面协同状态Ground coordination status

地面协同状态中,除上述在轨运行阶段需要的基本项之外,还需要安装开发编译软件,包括虚拟化、开发环境、运行库、程序开发框架等。In the ground collaboration state, in addition to the above-mentioned basic items required in the on-orbit operation stage, development and compilation software also needs to be installed, including virtualization, development environment, runtime library, program development framework, etc.

虚拟化:系统部署虚拟化的基础软件,从而运行更为广泛的研发所需生态软件系统。Virtualization: The system deploys virtualized basic software to run a wider range of ecological software systems required for research and development.

开发环境:部署智能自主算法研发、异构计算单元嵌入式程序研发等研发过程所需软件平台。Development environment: Deploy the software platform required for R&D processes such as intelligent independent algorithm development and heterogeneous computing unit embedded program development.

运行库:部署虚拟化软件、开发环境软件、存储系统、程序框架、应用程序运行时所需的支持库软件。Runtime library: deploys virtualization software, development environment software, storage systems, program frameworks, and support library software required for application runtime.

程序开发框架:部署人工智能、机器视觉、机器学习等所需的开发框架。Program development framework: The development framework required to deploy artificial intelligence, machine vision, machine learning, etc.

如图4所示,高性能异构计算单元具备高性能GPU以及大规模FPGA资源以及可扩展的I/O接口能力,由GPU、FPGA、可扩展I/O模块组成。As shown in Figure 4, the high-performance heterogeneous computing unit has high-performance GPU and large-scale FPGA resources and scalable I/O interface capabilities, and is composed of GPU, FPGA, and scalable I/O modules.

可扩展I/O模块可拓展出1553B总线、GigE总线、WIFI等与外系统进行控制、数据交换的接口。The scalable I/O module can expand the 1553B bus, GigE bus, WIFI and other interfaces for control and data exchange with external systems.

在联立工作模式下,通过机械接口与工作站单元组合,通过高速内部总线进行电气连接,与高性能通用计算单元进行数据通信,此模式作为并行计算资源使用。In the joint working mode, it is combined with the workstation unit through the mechanical interface, electrically connected through the high-speed internal bus, and performs data communication with the high-performance general computing unit. This mode is used as a parallel computing resource.

在独立工作模式下,可以作为未来高性能异构星载计算机使用,可部署具备高并发、大规模数据、复杂并行实时特性的自主系统。In independent working mode, it can be used as a future high-performance heterogeneous spaceborne computer, and can deploy autonomous systems with high concurrency, large-scale data, and complex parallel real-time characteristics.

如图5所示,高性能异构计算单元主要进行高性能实时运算,用于飞行验证程序、真实智能自主飞行程序的运行。异构计算单元内的系统软件分为三个部分,三个部分的分配由工作站单元内运行的开发程序完成。As shown in Figure 5, the high-performance heterogeneous computing unit mainly performs high-performance real-time calculations and is used to run flight verification programs and real intelligent autonomous flight programs. The system software in the heterogeneous computing unit is divided into three parts, and the distribution of the three parts is completed by the development program running in the workstation unit.

实时应用程序按照运算特性,被分解为CPU部分、GPU部分以及FPGA部分。Real-time applications are divided into CPU parts, GPU parts, and FPGA parts according to computing characteristics.

CPU部分:CPU为多核ARM架构A53系列,其上运行实时Linux操作系统,其上部署运行程序所用的运行库、文件系统以及驱动程序。CPU part: The CPU is a multi-core ARM architecture A53 series, which runs a real-time Linux operating system, and the runtime library, file system and driver used to run the program are deployed on it.

GPU部分:GPU部分的程序为工作站开发程序在开发或编译过程中,识别到的可通过通用GPU进行并行化处理的程序部分,将被编译为特定格式,与ARM协作运行。GPU part: The program in the GPU part is a workstation development program. During the development or compilation process, the program parts that can be parallelized by a general-purpose GPU are identified and will be compiled into a specific format and run in collaboration with ARM.

FPGA部分:FPGA部分的程序为自主智能飞行程序开发设计过程中,设计为特定运算逻辑、特定加速运算单元、IP软核等部分,通过编译及综合软件组合将程序编译及综合后,下装于FPGA的配置芯片内,由ARM统一管理加载时序。FPGA part: The program of the FPGA part is designed during the development and design process of the independent intelligent flight program as specific operation logic, specific acceleration operation unit, IP soft core and other parts. After the program is compiled and synthesized through compilation and synthesis software combination, it is downloaded to In the FPGA configuration chip, ARM manages the loading sequence uniformly.

三者分别进行部署,后续运行通过PCIe总线进行通信,进行数据同步运行。The three are deployed separately, and subsequent operations communicate through the PCIe bus for data synchronization.

本发明通过高性能计算单元和异构计算单元的组合设计,将人机交互验证环节、快速接入系统特有接口等多种功能结合,设计出了分立、联立下的不同工作模式,达到了适应验证阶段和部署运行阶段不同使用需求的效果,为适用于独立介入系统担任自主运行规划机奠定了基础。Through the combined design of high-performance computing units and heterogeneous computing units, the present invention combines various functions such as human-computer interaction verification links and quick access system unique interfaces, and designs different working modes in separate and combined modes, achieving the goal of The effect of adapting to different usage requirements in the verification stage and deployment operation stage lays the foundation for being suitable for independent intervention systems to serve as autonomous operation planning machines.

本发明通过设计软件可重构的、具备扩展能力的接口方式,达到计算系统可适应不同航天器系统的能力,从而具备响应多类别航天器系统,在其上开展持续自主任务规划相关技术开发和扩展的实用能力。By designing an interface mode that is software reconfigurable and capable of expansion, the present invention achieves the ability of the computing system to adapt to different spacecraft systems, thereby having the ability to respond to multiple categories of spacecraft systems, and carry out continuous autonomous mission planning related technology development and development on it. Extended utility capabilities.

本发明通过高性能通用计算单元,达到了支持人机交互、同步地面研发环境、部署开发系统、完成训练智能控制或规划模型等大规模计算任务、完成大规模试验数据存储的效果。Through high-performance general-purpose computing units, the present invention achieves the effects of supporting human-computer interaction, synchronizing ground research and development environments, deploying development systems, completing large-scale computing tasks such as training intelligent control or planning models, and completing large-scale test data storage.

本发明通过高性能异构计算单元的可扩展I/O模块,大道理可拓展出常用航天器总线形式的效果,包括1553B总线、GigE总线、WIFI等,可与航天器其它分系统进行数据通信,同时可与高性能通用计算单元单元进行数据交互。Through the scalable I/O module of the high-performance heterogeneous computing unit, the present invention can expand the effects of commonly used spacecraft bus forms, including 1553B bus, GigE bus, WIFI, etc., and can perform data communication with other subsystems of the spacecraft. , while enabling data interaction with high-performance general-purpose computing units.

本发明通过高性能计算单元和异构计算单元的组合设计,达到了支持不同应用模式的效果,可联立、也可分立完成自主规划及智能控制任务。联立形式下,异构计算单元可作为高性能通用计算单元的加速运算器以及外系统1553B总线等接口模块使用;分立形式下,异构计算单元可作为高性能星载计算机角色,其上部署训练、验证后规划控制应用程序,实际与传感器、其他分系统进行交互运行,对算法、程序进行部署运行、验证。Through the combined design of high-performance computing units and heterogeneous computing units, the present invention achieves the effect of supporting different application modes, and can complete independent planning and intelligent control tasks jointly or separately. In the joint mode, the heterogeneous computing unit can be used as an accelerator of a high-performance general-purpose computing unit and as an interface module such as the external system 1553B bus; in a discrete mode, the heterogeneous computing unit can be used as a high-performance spaceborne computer on which to deploy After training and verification, the control application is planned and actually interacts with sensors and other subsystems to deploy, run, and verify algorithms and programs.

本发明虽然已以较佳实施例公开如上,但其并不是用来限定本发明,任何本领域技术人员在不脱离本发明的精神和范围内,都可以利用上述揭示的方法和技术内容对本发明技术方案做出可能的变动和修改,因此,凡是未脱离本发明技术方案的内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化及修饰,均属于本发明技术方案的保护范围。Although the present invention has been disclosed above in terms of preferred embodiments, they are not intended to limit the present invention. Any person skilled in the art can utilize the methods and technical contents disclosed above to improve the present invention without departing from the spirit and scope of the present invention. Possible changes and modifications are made to the technical solution. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention, all belong to the technical solution of the present invention. protected range.

Claims (2)

1. An integrated intelligent computing system for autonomous mission planning, verification and deployment of a spacecraft is characterized by comprising: a high-performance mobile workstation unit and a high-performance heterogeneous computing unit; wherein,,
the high-performance mobile workstation unit downloads the compiled object code to the high-performance heterogeneous computing unit, and the compiled object code runs in the high-performance heterogeneous computing unit;
a bus interface on the high-performance heterogeneous computing unit acquires the state of the spacecraft and transmits the state of the spacecraft to the high-performance mobile workstation unit; the high-performance mobile workstation unit stores and interprets the state of the spacecraft to obtain a control instruction, and transmits the control instruction to the high-performance heterogeneous computing unit; the high-performance heterogeneous computing unit outputs a control instruction to the spacecraft related subsystem; wherein,,
the high-performance heterogeneous computing unit comprises an image processor, a first central processing unit, a second central processing unit, a programmable gate array, a memory, a high-speed internal bus, a 1553B bus, a hundred/gigabit Ethernet and a data conversion acquisition interface; wherein,,
the first central processing unit acquires the state data of the spacecraft platform through a high-speed internal bus, a 1553B bus, a hundred/gigabit Ethernet and a data conversion acquisition interface; the spacecraft platform state data comprise graphic image data, large-scale time sequence data and event data;
the first central processing unit transmits the graphic image data to the image processor through the high-speed internal bus, the image processor operates the graphic image data, and then the image processor returns the operation result to the first central processing unit through the high-speed internal bus;
the first central processing unit transmits the large-scale time sequence data to the programmable gate array for processing through the high-speed internal bus, and then the programmable gate array returns the processing result to the first central processing unit through the high-speed internal bus;
the first central processing unit transmits event data to the second central processing unit through the high-speed internal bus for processing, and then the second central processing unit returns a processing result to the first central processing unit through the high-speed internal bus; the first central processing unit completes information processing according to the processing result returned by the second central processing unit, the operation result returned by the image processor and the processing result returned by the programmable gate array;
the high-performance mobile workstation unit and the high-performance heterogeneous computing unit can be simultaneously and separately used for completing autonomous planning and intelligent control tasks, and the three application modes are treated:
(1) research and development test mode: the system is in a research and development test mode, and mainly utilizes a development environment installed in a high-performance mobile workstation unit to research and develop an intelligent algorithm and an autonomous program prototype or simulate the autonomous program prototype and an autonomous control model; meanwhile, the high-performance heterogeneous computing unit is in the role of an expansion interface between the coprocessor and an external system, and is responsible for assisting the high-performance mobile workstation unit in accelerating computation and providing data communication capacity, and the workstation unit provides a man-machine interface for intervention operation of astronauts;
(2) research and development verification mode: when the system is in a research and development verification mode, the high-performance heterogeneous computing unit is regarded as a high-performance spaceborne computer; the method comprises the steps that a development deployment program in a high-performance mobile workstation unit is utilized, compiled target codes can be downloaded to a high-performance heterogeneous computing unit, the target codes run in the high-performance heterogeneous computing unit, meanwhile, monitoring software run by the high-performance mobile workstation unit is communicated with the high-performance heterogeneous computing unit, test data are obtained, the test data are stored, transmitted and interpreted, and a human-computer interface is provided for a spaceman to intervene in operation;
(3) deployment of the operational mode: when the system is in a deployment operation mode, the high-performance heterogeneous computing unit and the high-performance mobile workstation unit are in a discrete state; the high-performance heterogeneous computing unit is provided with an actual autonomous flight program after compiling optimization, and performs data communication with each subsystem of the spacecraft through a data bus to perform actual autonomous planning and intelligent control.
2. The spacecraft autonomous mission planning verification deployment integrated intelligent computing system of claim 1, wherein: the bus interface on the high-performance heterogeneous computing unit acquires the state of the spacecraft, the high-performance heterogeneous computing unit calculates according to the state of the spacecraft to obtain a control instruction, and the bus system of the high-performance heterogeneous computing unit outputs the control instruction to the related sub-system of the spacecraft;
the high-performance mobile workstation unit communicates with the high-performance heterogeneous computing unit or the spacecraft subsystem through wifi, wired Ethernet or thunderbolt buses on the high-performance mobile workstation unit and is used for monitoring data when the high-performance heterogeneous computing unit independently runs the flight control program.
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Publication number Priority date Publication date Assignee Title
CN113254076B (en) * 2021-06-15 2023-07-28 北京航天飞行控制中心 Method for controlling and automatically monitoring surface inspection device of extraterrestrial celestial body
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411313A (en) * 2011-11-16 2012-04-11 清华大学 Satellite flight control closed loop simulation system based on component simulator
CN102541804A (en) * 2011-12-26 2012-07-04 中国人民解放军信息工程大学 Multi-GPU (graphic processing unit) interconnection system structure in heterogeneous system
CN103218292A (en) * 2013-03-29 2013-07-24 北京控制工程研究所 Automatic testing system for aerospace satellite-borne software
WO2015180000A1 (en) * 2014-05-26 2015-12-03 中国科学院长春光学精密机械与物理研究所 Comprehensive management system for platform and payload integrated satellite
CN106250349A (en) * 2016-08-08 2016-12-21 浪潮(北京)电子信息产业有限公司 A kind of high energy efficiency heterogeneous computing system
CN108255773A (en) * 2017-12-07 2018-07-06 中国航空工业集团公司西安航空计算技术研究所 A kind of intelligence computation heterogeneous polynuclear processing method and platform

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080092146A1 (en) * 2006-10-10 2008-04-17 Paul Chow Computing machine

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411313A (en) * 2011-11-16 2012-04-11 清华大学 Satellite flight control closed loop simulation system based on component simulator
CN102541804A (en) * 2011-12-26 2012-07-04 中国人民解放军信息工程大学 Multi-GPU (graphic processing unit) interconnection system structure in heterogeneous system
CN103218292A (en) * 2013-03-29 2013-07-24 北京控制工程研究所 Automatic testing system for aerospace satellite-borne software
WO2015180000A1 (en) * 2014-05-26 2015-12-03 中国科学院长春光学精密机械与物理研究所 Comprehensive management system for platform and payload integrated satellite
CN106250349A (en) * 2016-08-08 2016-12-21 浪潮(北京)电子信息产业有限公司 A kind of high energy efficiency heterogeneous computing system
CN108255773A (en) * 2017-12-07 2018-07-06 中国航空工业集团公司西安航空计算技术研究所 A kind of intelligence computation heterogeneous polynuclear processing method and platform

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