Digital twinborn simulation system and method for high-orbit high-maneuverability satellite confrontation

Abstract

The invention discloses a digital twinborn simulation system and method for high-orbit high-maneuverability satellite confrontation, and belongs to the technical field of semi-physical simulation, and the simulation system comprises a heterogeneous platform semi-physical simulation system which is used for simulating all collaborative confrontation test scenes of satellites and generating test scene data in real time; the collaborative confrontation real-time simulation system is used for generating a digital twin collaborative confrontation scene according to the real-time data of the heterogeneous platform semi-physical simulation system; the cooperative intelligent control system is used for controlling a satellite according to the semi-physical or simulation data generated by the heterogeneous platform semi-physical simulation system; the cooperative confrontation simulation master control system is used for issuing a cooperative control instruction to the heterogeneous platform semi-physical simulation system, the cooperative confrontation real-time simulation system and the cooperative intelligent control system; according to the simulation system, the effectiveness of the test and the feasibility of satellite-borne application are ensured, the test period is shortened, and the risk and cost of the test are reduced.

Description

Technical Field

[0001] The present invention relates to the field of satellite confrontation technology, and specifically to a digital twin simulation system and method for high-orbit and high-maneuverability satellite confrontation. Background Art

[0002] The high-orbit high-mobility confrontation system is a complex system that integrates multi-source heterogeneous data fusion, cross-platform collaborative sensor management, collaborative tactical decision-making, collaborative trajectory planning, collaborative flight control and collaborative firepower strike. The core link of the research and development and verification of the high-orbit high-mobility confrontation system is testing. It is necessary to test the satellite's autonomous collaborative situation perception and recognition capabilities, the judgment and decision-making capabilities of the mission system, and the control and execution capabilities of the execution system under different mission scenarios, confrontation targets, sudden threats, and electromagnetic environments, so as to obtain more complete collaborative perception, collaborative decision-making and collaborative control technologies.

[0003] The high-orbit and high-mobility anti-aircraft simulation test platform focuses on simulating a variety of complex real scenarios encountered by the same-aircraft confrontation system in actual mission scenarios. It can also be used to verify and test the correctness of the software algorithm of collaborative intelligent control, and the real-time and reliability of new functional components in a real-installation environment. Traditional system ground test technologies include ground physical tests and virtual simulation tests. Physical verification and ground physical test verification of collaborative intelligent control have high risks, high costs, and low efficiency. It is difficult for test resources to simulate various scenarios, and there are also safety issues that may be caused by uncontrollable test conditions. Virtual simulation tests are low-cost, high-efficiency, and can simulate various mission scenarios, but it is difficult to verify the feasibility of operation in a real-installation environment. Therefore, it is necessary to study the test methods that combine virtual and real, integrating the respective advantages of virtual testing and physical testing. Summary of the invention

[0004] In response to the problems existing in the prior art, the present invention provides a digital twin simulation system for high-orbit and highly maneuverable satellite confrontation. The system adopts a virtual-real test method that combines the advantages of virtual testing and physical testing to simulate the confrontation process of high-orbit and highly maneuverable satellites.

[0005] The present invention is achieved through the following technical solutions: A digital twin simulation system for high-orbit and high-mobility satellite confrontation, including: Heterogeneous platform semi-physical simulation system, used to simulate all satellite cooperative confrontation test scenarios and generate test scenario data in real time; A collaborative confrontation real-time simulation system is used to generate digital twin collaborative confrontation scenarios based on real-time data from a heterogeneous platform semi-physical simulation system; A collaborative intelligent control system for controlling satellites based on semi-physical or simulated data generated by a semi-physical simulation system for heterogeneous platforms; The collaborative confrontation simulation master control system is used to issue coordinated control instructions to the heterogeneous platform semi-physical simulation system, collaborative confrontation real-time simulation system and collaborative intelligent control system.

[0006] Preferably, it also includes a visual simulation system, which is used to generate a simulation screen according to the digital twin collaborative confrontation scene of the collaborative confrontation real-time simulation system.

[0007] Preferably, the test scenario data is semi-physical or simulation data.

[0008] A simulation method for a digital twin simulation system of a high-orbit and high-mobility satellite confrontation includes the following processes: Step 1: The collaborative confrontation simulation master control system sets task parameters of the collaborative confrontation test task scenario; Step 2: Configure satellite flight control parameters in the heterogeneous platform semi-physical simulation system according to the mission parameters; Step 3: Generate a virtual confrontation scenario for testing based on the mission parameters of the collaborative confrontation test mission scenario and the satellite flight control parameters, and load it into the heterogeneous platform semi-physical simulation system to generate a satellite platform; Step 4: The visual simulation system establishes a three-dimensional battlefield simulation scene based on the data of the confrontation real-time simulation system.

[0009] Step 5: Collect battlefield situation information from the virtual confrontation scene, and the perception unit in the collaborative intelligent control system integrates and processes the information of different sensors, and collaboratively manages and controls the sensors of heterogeneous platforms; Step 6: The collaborative intelligent control system obtains sudden threat information based on the battlefield situation information and outputs tactical decisions based on the sudden threat information; Step 7: The collaborative intelligent control system generates satellite control information based on the tactical decision information.

[0010] Step 8: The heterogeneous platform semi-physical simulation system calculates the satellite flight control information of the satellite platform at the next moment according to the satellite control information, and sends it to the confrontation real-time simulation system; Step 9: The collaborative confrontation real-time simulation system updates the collaborative confrontation scenario based on the satellite flight control information fed back by the heterogeneous platform semi-physical simulation system.

[0011] Preferably, the mission parameters described in step 1 include enemy and friendly satellite configuration, mission objectives, initial orbit and mission area planning.

[0012] Preferably, the control parameters in step 2 include satellite control model parameters, acquisition parameters and initial parameters of the satellite semi-physical simulation system.

[0013] Preferably, the collaborative intelligent control system obtains sudden threat information based on the satellite's own position, attitude, speed, mission objectives, sensor status, data link status, and battlefield situation information, and then outputs tactical decisions.

[0014] Preferably, the satellite control information includes satellite platform flight control information, overall anti-interference layout instructions, tactical mission execution information of the control satellite, and collection of flight parameters and status information of each platform at the current moment.

[0015] Preferably, the satellite flight control information includes mission objectives, flight orbits and sensor operating parameters.

[0016] Preferably, the method further comprises the following steps: Step 10: The visual simulation system updates and displays the three-dimensional simulation scene, and repeatedly generates the virtual collaborative confrontation scene and satellite platform; Step 11: The real-time confrontation simulation system generates a satellite confrontation test result process file to analyze whether the collaborative tactical decision-making and collaborative control of the collaborative intelligent control system meet the requirements.

[0017] Compared with the prior art, the present invention has the following beneficial technical effects: The present application provides a digital twin simulation system for high-orbit and high-maneuverability satellite confrontation, in which the collaborative confrontation simulation master control system issues overall layout instructions to the heterogeneous platform semi-physical simulation system, the collaborative confrontation real-time simulation system, and the collaborative intelligent control system respectively. The collaborative confrontation real-time simulation scenario arranges the simulation scenario required for the test according to the overall layout instructions, and the collaborative intelligent control system outputs the specific task instructions of the satellite to the heterogeneous platform semi-physical simulation system according to the overall layout instructions. The heterogeneous platform semi-physical simulation system outputs the digital or semi-physical simulation data of the satellite to the collaborative confrontation real-time simulation system according to the specific overall layout instructions, so that the satellite in the collaborative confrontation real-time simulation system performs the task. The heterogeneous platform semi-physical simulation system collects data information when the satellite performs the task in real time and uploads it to the collaborative intelligent control system. The collaborative intelligent control system determines the next instruction of the satellite based on the feedback information. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 It is a structural diagram of the digital twin evolution system of the present invention; Figure 2It is a structural diagram of the high-orbit confrontation twin system of the present invention; Figure 3 Flowchart for modeling and simulating the present invention; Figure 4 This is the overall architecture of the high-orbit confrontation digital twin system of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0022] A digital twin simulation system for high-orbit and high-maneuverability satellite confrontation, including a semi-physical simulation system for heterogeneous platforms, a real-time simulation system for collaborative confrontation, a collaborative intelligent control system, a visual simulation system and a formation collaborative confrontation simulation master control system. The collaborative confrontation simulation and verification are achieved through real-time data interaction between the systems.

[0023] Heterogeneous platform semi-physical simulation system, used to simulate all satellite cooperative confrontation test scenarios and generate semi-physical or simulation data of the test scenarios in real time; A collaborative confrontation real-time simulation system is used to generate digital twin collaborative confrontation scenarios based on real-time data from a heterogeneous platform semi-physical simulation system; A collaborative intelligent control system for controlling satellites based on data generated by a hardware-in-the-loop simulation system for heterogeneous platforms; The formation collaborative confrontation simulation master control system is used to publish the overall layout and conduct overall coordinated control of the heterogeneous platform semi-physical simulation system, collaborative confrontation real-time simulation system and collaborative intelligent control system; A visual simulation system is used to receive simulation and physical data from a collaborative confrontation real-time simulation system and generate a simulation picture.

[0024] The collaborative confrontation simulation master control system issues overall layout instructions to the heterogeneous platform semi-physical simulation system, collaborative confrontation real-time simulation system and collaborative intelligent control system respectively. The collaborative confrontation real-time simulation scenario arranges the simulation scenario required for the test according to the overall layout instructions. The collaborative intelligent control system outputs the specific task instructions of the satellite to the heterogeneous platform semi-physical simulation system according to the overall layout instructions. The heterogeneous platform semi-physical simulation system outputs the digital or semi-physical simulation data of the satellite to the collaborative confrontation real-time simulation system according to the specific overall layout instructions, so that the satellite in the collaborative confrontation real-time simulation system performs the task. The heterogeneous platform semi-physical simulation system collects data information of the satellite when performing the task in real time and uploads it to the collaborative intelligent control system. The collaborative intelligent control system determines the next instruction of the satellite based on the feedback information.

[0025] Example 1 A simulation method for a digital twin simulation system of a high-orbit and high-mobility satellite confrontation includes the following processes: Step 1: The collaborative confrontation simulation master control system performs the task parameters of the collaborative confrontation test task scenario.

[0026] Mission parameters include friendly and enemy satellite configuration, mission objectives, initial orbit and mission area planning.

[0027] Step 2: Configure satellite flight control parameters in the heterogeneous platform semi-physical simulation system according to the mission parameters.

[0028] The control parameters include satellite control model parameters, acquisition parameters and initial parameters of the satellite semi-physical simulation system.

[0029] Step 3: Generate a virtual confrontation scenario for testing based on the mission parameters and satellite flight control parameters of the collaborative confrontation test mission scenario, and load it into the heterogeneous platform semi-physical simulation system to generate a satellite platform.

[0030] The real-time confrontation simulation system, semi-physical simulation system and digital simulation system are used to generate the virtual confrontation scenarios required for the test.

[0031] Step 4: The visual simulation system establishes a three-dimensional battlefield simulation scene based on the data of the confrontation real-time simulation system.

[0032] Step 5: Collect battlefield situation information from the virtual confrontation scene, and the perception unit in the collaborative intelligent control system integrates and processes the information of different sensors, and collaboratively manages and controls the sensors of heterogeneous platforms; Step 6: The collaborative intelligent control system obtains sudden threat information based on the battlefield situation information and outputs tactical decisions based on the sudden threat information.

[0033] The decision-making unit of the collaborative intelligent control system obtains sudden threat information based on the position, posture, speed, mission objectives, sensor status, data link status of each platform, combined with the battlefield situation information processed by the perception unit, and makes tactical decisions; Step 7: The collaborative intelligent control system generates satellite control information based on the tactical decision information.

[0034] The control unit of the collaborative intelligent control system generates satellite control information based on tactical decisions. The satellite control information includes satellite platform flight control information, overall anti-interference layout instructions, tactical mission execution information of controlling satellites, and collects flight parameters and status information of each platform at the current moment.

[0035] Step 8: The heterogeneous platform semi-physical simulation system calculates the satellite flight control information of the satellite platform at the next moment according to the satellite control information, and sends it to the confrontation real-time simulation system.

[0036] The heterogeneous platform semi-physical simulation system calculates the satellite flight control information of the satellite platform at the next moment according to the overall layout instructions of the countermeasure interference, including mission objectives, flight orbits, sensor operating parameters, and other operating parameters, and sends them to the countermeasure real-time simulation system; Step 9: The collaborative confrontation real-time simulation system updates the collaborative confrontation scenario according to the satellite flight control information fed back by the heterogeneous platform semi-physical simulation system; Step 10: The visual simulation system updates the three-dimensional simulation scene and displays it, repeatedly generates virtual collaborative confrontation scenes and satellite platforms, and conducts confrontation; Step 11: The confrontation real-time simulation system generates a satellite confrontation test result process file to analyze whether the coordinated tactical decision-making and coordinated control of the coordinated intelligent control system meet the requirements. If so, the test ends.

[0037] The digital twin simulation system for high-orbit and high-mobility satellite confrontation provided by this application builds a digital satellite model that combines virtual and real. As the development and upgrade of satellite confrontation simulation applications, digital twins are very different from traditional simulation methods. The digital twin model runs through the entire life cycle of the satellite confrontation system. Data collection and organization centered on satellite models.

[0038] Data is the basic element of digital twins, and its sources include two parts: one part is collected from satellite physical objects and their environment; the other part is generated after simulation. Multi-category, all-round, massive dynamic data promotes the update, optimization and development of physical / virtual models. Highly integrated and fused data can not only reflect the actual operation of physical entities and virtual models, but also affect and drive the operation of digital twin systems. Intelligent perception and comprehensive interconnection of physical systems are important sources of physical entity data and the prerequisite for realizing the integration of models, data, services, etc. Perception and interconnection mainly refer to the use of sensor technology to connect heterogeneous information of all elements such as people, machines, objects, and environment in the system to the information system in the form of digital description, so as to realize the real-time presentation of each element in the digital space and drive the operation of digital models. The organization of data is centered on the model. The information model is an abstraction of the physical entity, while multidisciplinary and multi-field simulation models require different data drivers and will also generate different data. These data are organized through different field models such as information models, physical models, and management models, and unified storage and distribution are achieved through model-based single data source management to ensure the validity and correctness of the data.

[0039] Bidirectional mapping, dynamic interaction, real-time connection and iterative optimization The satellite confrontation system and digital model are connected in real time to dynamically interact and achieve two-way mapping. Changes in the satellite confrontation system can be reflected in the digital model in a timely manner, and the results calculated and simulated by the digital model can also be sent to the satellite confrontation in a timely manner to control the execution process of the satellite, thus forming a virtual-real fusion of the digital twin system. After the twin data is linked into a unified whole, the various parts of the system are also effectively integrated and controlled, and the various parts are no longer presented in an isolated form, and intelligent functions such as prediction and analysis are deduced.

[0040] Digital twins combine the actual conditions of real satellites with digital models and present them intuitively in the software interface. This is the monitoring function of digital twins. The monitoring of digital twins is generally built on a three-dimensional visualization model. Various data are displayed according to different dimensions such as the model's space, operation process, and management level, allowing users to intuitively feel the system's operating status and facilitate decision-making.

[0041] The digital twin system has intelligent functions such as simulation, monitoring, diagnosis, prediction and analysis, autonomous decision-making, autonomous control and execution. The digital model established in the information space itself is a simulation and simulation of the satellite entity. It is used to present the state of high-orbit satellite confrontation in an all-round, full-element and in-depth manner, and complete the visual monitoring process at the software level. The digital twin is not limited to the realization of the above basic functions, but should also make full use of the full-cycle and full-field simulation technology to dynamically predict the physical world. Prediction is the core value of the digital twin. The basis of dynamic prediction is the fully interconnected data flow and information flow in the system and the established high-simulation digital model.

[0042] Lifecycle design of a high-speed rail adversarial digital twin system.

[0043] The digital twin system is a concrete expression of the high-orbit confrontation system in its life cycle. It is an interactive generation relationship between satellite entities, virtual satellite entities, and virtual and real entities, and ultimately forms a system with the goal of "real to virtual" full-element hierarchical mapping of physical satellite objects or physical confrontation behaviors and "virtual control of real". Therefore, it is called DigitalTwins, which is different from Digital Twin. The fractal description and time continuity characteristics of digital twins are actually the description of physical objects from the object-oriented and process-oriented perspectives respectively. Therefore, to analyze the digital twins of the entire life cycle of physical objects, it is necessary to combine object-oriented and process-oriented digital twins. From a process-oriented perspective, the digital twins at each stage interact with the physical entity, and the digital twins at different stages interact with each other. From an object-oriented perspective, physical objects are constantly updated, and their digital twins carry the information transmitted in the previous stage at each stage of their life cycle. As another virtual "life form" of a physical object in its life cycle, the digital twin will be given specific functions at each stage of the entire life cycle corresponding to the physical object.

[0044] According to the characteristics and functions of digital twins, their life cycle is divided into three stages. Digital twins are another "life" of physical objects, and the initial state of life is embryos. Therefore, the digital embryo stage is the early stage of digital twins. Digital embryos are generated during the design stage of physical objects. Digital embryos appear before physical objects. Therefore, the design intention of using digital embryos to express physical objects to be realized is to idealize and empirically define physical entities. This digital embryo can be regarded as a virtual expression of the physical and functional properties of physical objects rationally and empirically recognized by the human brain or intelligence. Its function is to use virtual reality to reflect reality. The second stage is the mid-stage of digital twins, that is, the digital mapping stage, and its function is to use virtual reality to reflect reality. Through the multi-level digital mapping of satellite objects, a data-driven model for satellite entities and satellite confrontation behaviors is established. Twin data is the basis of data-driven, which can realize the mapping between satellite entity objects and digital mapping objects, including satellite model behavior logic and operation process, and this mapping simulation will automatically make corresponding changes according to the actual situation and as the satellite entity changes. The third stage is the final stage of the digital twin’s life cycle, and it is also the stage when the digital twin has intelligence, that is, the twin intelligence stage. In this stage, the digital twin inherits the data and models of the previous two stages. At the same time, with the help of big data mining and intelligent algorithms, it accurately controls the physical entity objects in the way of "knowledge model-intelligent decision-making-precise execution" to achieve the functional goal of "controlling the real with the virtual". Figure 1 shown.

[0045] Technical implementation of high-orbit countermeasure system based on digital twin.

[0046] Digital twin technology is developed from the related technologies of digital models and digital prototypes; and the digital twin of the production system is related to the technology of virtual manufacturing. Therefore, digital twin is not a brand new technology. It has the characteristics of modeling and simulation, virtual manufacturing, digital prototype and other technologies, and has been developed on the basis of these technologies. Figure 2 The technology in it provides the basic technical support for realizing the high-orbit confrontation twin system.

[0047] A model is a certain form of description of the structural information and behavior of a real system. It is a quantitative abstraction of the characteristics and changing laws of the system. It is a means or tool for people to understand things.

[0048] 1) Physical model: refers to an objective entity that is not subject to human will, such as the satellite entity in the confrontation system.

[0049] 2) Formal model: An expression of an objective thing or process constructed using a certain standard expression method. Formal models realize an abstraction of the objective world, which is convenient for analysis and research. For example, a mathematical model is an abstraction from a certain function or structure, and uses mathematical methods to reproduce the functional and structural characteristics of a high-orbit satellite.

[0050] 3) Simulation model: refers to the satellite model that is converted into a computer-implementable model based on the formal model of the system using simulation language.

[0051] The construction of a model generally has a set of standardized modeling systems, including model description language, model description method, model construction method, etc. Mathematics is the most commonly used modeling language to express the objective world. The Unified Modeling Language (UML) commonly used in software engineering is also a general modeling system that supports object-oriented modeling methods.

[0052] According to the basic principles of simulation modeling technology, modeling and simulation represent two different processes. Modeling refers to the process of establishing a formal model of the object or system being simulated based on its structural components, motion laws, constraints and physical properties. Simulation is the process of using a computer to establish, verify and run a model of the actual system to obtain the behavioral characteristics of the model, thereby analyzing and studying the system.

[0053] Figure 3 This process is represented. The whole process has two abstraction and conversion processes. The first is from the physical satellite confrontation system to the mathematical model, which is an abstraction from the physical space to the information space. The second is the conversion from the mathematical model to the computer simulation model. This process is to ensure that the simulation can be carried out smoothly. Modeling is the basis of simulation, and simulation is the purpose of modeling. In the practical application of simulation technology, people always seek a clear relationship between the two, which is mainly manifested in the separation of the modeling framework and the simulation framework. This facilitates the realization of a general simulation control and experimental environment, allowing researchers to focus on the modeling research of the simulation object system, while achieving high modeling flexibility, maintainability and code reusability. The simulation framework mainly provides a description of the control function of the simulation system. In the traditional process-oriented simulation modeling method, the control function of the simulation system is incorporated into the process of describing the model, and the various control functions involved in the simulation in the code cannot be clearly distinguished from the modeling elements of the model.

[0054] When choosing a modeling method, the system characteristics of the system being discussed and the nature of the problem to be tracked should be considered. Common simulation modeling methods include static / dynamic modeling methods, continuous / discrete modeling methods, stochastic deterministic modeling methods, and object-oriented and multi-agent simulation modeling methods.

[0055] The high-orbit satellite collaborative confrontation simulation test platform of the present application generates semi-physical or simulated data of the test scenario in real time through the semi-physical simulation system of the heterogeneous platform, generates a digital twin collaborative confrontation scenario through the collaborative confrontation real-time simulation system, controls the satellite through the collaborative intelligent control system according to the data generated by the semi-physical simulation system of the heterogeneous platform, and issues overall decisions and performs overall coordinated control through the formation collaborative confrontation simulation master control system. The semi-physical or simulated data is input into the collaborative confrontation real-time simulation system, and the semi-physical signal is obtained by collecting the physical data to ensure the feasibility of the test. The simulation signal is obtained by collecting the model signal to ensure the efficiency of the test, thereby ensuring the effectiveness of the test and the feasibility of the satellite application, shortening the test cycle, and reducing the risk and cost of the test.

[0056] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A digital twin simulation system for high-orbit and high-mobility satellite confrontation, characterized in that: include: Heterogeneous platform semi-physical simulation system, used to simulate all satellite cooperative confrontation test scenarios and generate test scenario data in real time; A collaborative confrontation real-time simulation system is used to generate digital twin collaborative confrontation scenarios based on real-time data from a heterogeneous platform semi-physical simulation system; A collaborative intelligent control system for controlling satellites based on semi-physical or simulated data generated by a semi-physical simulation system for heterogeneous platforms; The collaborative confrontation simulation master control system is used to issue coordinated control instructions to the heterogeneous platform semi-physical simulation system, collaborative confrontation real-time simulation system and collaborative intelligent control system.

2. According to claim 1, a digital twin simulation system for high-orbit and high-mobility satellite confrontation is characterized in that: It also includes a visual simulation system, which is used to generate a simulation picture according to the digital twin collaborative confrontation scene of the collaborative confrontation real-time simulation system.

3. According to claim 1, a digital twin simulation system for high-orbit and high-mobility satellite confrontation is characterized in that: The test scenario data is semi-physical or simulation data.

4. A simulation method for a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to any one of claims 1 to 3, characterized in that: The process includes: Step 1: The collaborative confrontation simulation master control system sets task parameters of the collaborative confrontation test task scenario; Step 2: Configure satellite flight control parameters in the heterogeneous platform semi-physical simulation system according to the mission parameters; Step 3: Generate a virtual confrontation scenario for testing based on the mission parameters of the collaborative confrontation test mission scenario and the satellite flight control parameters, and load it into the heterogeneous platform semi-physical simulation system to generate a satellite platform; Step 4: The visual simulation system establishes a three-dimensional battlefield simulation scene based on the data of the confrontation real-time simulation system; Step 5: Collect battlefield situation information from the virtual confrontation scene, and the perception unit in the collaborative intelligent control system integrates and processes the information of different sensors, and collaboratively manages and controls the sensors of heterogeneous platforms; Step 6: The collaborative intelligent control system obtains sudden threat information based on the battlefield situation information and outputs tactical decisions based on the sudden threat information; Step 7: The collaborative intelligent control system generates satellite control information based on the tactical decision information; Step 8: The heterogeneous platform semi-physical simulation system calculates the satellite flight control information of the satellite platform at the next moment according to the satellite control information, and sends it to the confrontation real-time simulation system; Step 9: The collaborative confrontation real-time simulation system updates the collaborative confrontation scenario based on the satellite flight control information fed back by the heterogeneous platform semi-physical simulation system.

5. The simulation method of a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to claim 4 is characterized in that: The mission parameters described in step 1 include friendly and enemy satellite configuration, mission objectives, initial orbits, and mission area planning.

6. The simulation method of a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to claim 4 is characterized in that: The control parameters in step 2 include satellite control model parameters, acquisition parameters and initial parameters of the satellite semi-physical simulation system.

7. The simulation method of a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to claim 4 is characterized in that: The collaborative intelligent control system obtains sudden threat information based on the satellite's own position, attitude, speed, mission objectives, sensor status, data link status, and battlefield situation information, and then outputs tactical decisions.

8. The simulation method of a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to claim 4 is characterized in that: The satellite control information includes satellite platform flight control information, overall anti-interference layout instructions, tactical mission execution information of the control satellite, and the collection of flight parameters and status information of each platform at the current moment.

9. The simulation method of a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to claim 4 is characterized in that: The satellite flight control information includes mission objectives, flight orbits and sensor operating parameters.

10. The simulation method of a digital twin simulation system for high-orbit and high-mobility satellite confrontation according to claim 4 is characterized in that: The following steps are also included: Step 10: The visual simulation system updates and displays the three-dimensional simulation scene, and repeatedly generates the virtual collaborative confrontation scene and satellite platform; Step 11: The real-time confrontation simulation system generates a satellite confrontation test result process file to analyze whether the collaborative tactical decision-making and collaborative control of the collaborative intelligent control system meet the requirements.

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