CN116071969A - Simulation training platform for cooperative combat of anti-radiation unmanned aerial vehicle - Google Patents

Abstract

The invention discloses a simulation training platform for cooperative combat of a reverse-radiation unmanned aerial vehicle, which comprises a high-performance driving engine, a task scene generation and editing module and a simulation model development module, wherein the high-performance driving engine consists of a task editor, a simulation engine, a model editor and a performance evaluation module. According to the simulation training platform for the cooperative combat of the anti-radiation unmanned aerial vehicle, a modeling method of multiple layers and multiple granularities is adopted according to a novel typical combat concept of the anti-radiation unmanned aerial vehicle, the construction of a high-fidelity simulation environment is quickly realized based on a high-performance driving engine simulation platform, the modeling of combat entities and combat rules is realized, a development system architecture is adopted, various combat scene simulation requirements such as air defense compression and electronic countermeasure can be supported, parameterized model development tools are adopted, simulation models of multiple types, multiple forms and multiple granularities can be accessed, and a high-performance driving engine is adopted.

Description

Simulation training platform for cooperative combat of anti-radiation unmanned aerial vehicle

Technical Field

The invention relates to the technical field of simulation training platforms, in particular to a simulation training platform for cooperative combat of a reverse-radiation unmanned aerial vehicle.

Background

The anti-radiation unmanned aerial vehicle is a novel anti-radiation weapon appearing after the anti-radiation missile, can be destroyed aiming at electron radiation sources such as an enemy radar, a communication ground station and the like, can be generally regarded as a new generation weapon developed by combining the advantages of the anti-radiation missile and an unmanned plane and improving the two, is mainly used for suppressing and destroying the enemy ground radar, weakening the fight capability of an enemy air defense system, and is divided into a high-speed anti-radiation unmanned aerial vehicle and a low-speed anti-radiation unmanned aerial vehicle according to the flying speed; according to the transmitting platform, the anti-radiation unmanned aerial vehicle is divided into a vehicle-mounted anti-radiation unmanned aerial vehicle, a ship-based anti-radiation unmanned aerial vehicle and an airborne anti-radiation unmanned aerial vehicle, the anti-radiation unmanned aerial vehicle is composed of an aircraft body, a fuze warhead, a flight control device, a navigation device, an anti-radiation guide head and the like, the aircraft body is generally made of composite materials with stealth performance so as to reduce radar sectional areas, the warhead adopts a high-energy explosive and prefabricated fragment shell structure, the fuze and the proximity fuze are adopted to detonate the warhead, and the anti-radiation guide head is mainly composed of an antenna, a receiver, a signal processor, a follow-up control device and the like and is generally made of a single pulse system for automatically searching, sorting and identifying electromagnetic radiation signals and judging threat levels.

The existing modeling mode of the simulation training platform is single, the construction of a simulation environment is slowly realized, the modeling of a combat entity and a combat rule can support the simulation requirements of one or at most three combat scenes, and one or at most three simulation models can be accessed by adopting a model development tool, so that the whole operation is single and simple.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a simulation training platform for cooperative combat of an anti-radiation unmanned aerial vehicle, which solves the problems that the modeling mode is single, the construction of a simulation environment is slowly realized, the modeling of combat entities and combat rules can support the simulation requirements of one or at most three combat scenes, and the whole operation is single and simple by adopting a model development tool and accessing one or at most three simulation models.

In order to achieve the above purpose, the invention is realized by the following technical scheme: the simulation training platform for the cooperative combat of the anti-radiation unmanned aerial vehicle comprises a high-performance driving engine, a task scene generation editing module and a simulation model development module, wherein the high-performance driving engine consists of a task editor, a simulation engine, a model editor and a performance evaluation module, the task scene generation editing module consists of task file management, anti-radiation combat task setting, anti-radiation unmanned aerial vehicle and task related equipment application and rule and system environment editing, and the simulation model development module comprises combat solid model development, target characteristic model development, combat environment model development and combat rule modeling.

Preferably, the model editor comprises a combat entity model, a target characteristic model and a combat rule model.

Preferably, the combat solid model development comprises translational and rotational modeling of the aircraft, modeling of the central position, influence of each fuselage assembly, modeling of the jet engine, modeling of the hydraulic system and modeling of the control system.

Preferably, the combat environment model development includes battlefield map development, battlefield weather modeling, and modeling of battlefield buildings with other static auxiliary objects, and the combat rule modeling includes firing rules and responses in the face of threats.

Preferably, the task editor comprises equipment deployment, mounting configuration, weapon deployment, route planning, trigger design engagement rules, task action definition and editing, on-flight task setting and waypoint action setting.

Preferably, the efficacy evaluation module mainly includes: performance evaluation design basic environment, experiment sample design, index system design, system index analysis, system performance evaluation, data visualization, evaluation data management and evaluation algorithm library.

Preferably, the model editor is composed of 4 main areas: world maps, tasks and maps bars, systems bars and tool bars.

Advantageous effects

The invention provides a simulation training platform for cooperative combat of a reverse-radiation unmanned aerial vehicle. Compared with the prior art, the method has the following beneficial effects: the simulation training platform for the cooperative combat of the anti-radiation unmanned aerial vehicle comprises a task editor, a simulation engine, a model editor and a performance evaluation module, wherein the task scene generation and editing module comprises task file management, anti-radiation combat task setting, anti-radiation unmanned aerial vehicle and task related equipment application, rules and system environment editing, the simulation model development module comprises combat entity model development, target characteristic model development, combat environment model development and combat rule modeling, the high-performance driving engine simulation platform is adopted by adopting a multi-level and multi-granularity modeling method according to a novel typical combat concept of the anti-radiation unmanned aerial vehicle, the construction of a high-fidelity simulation environment is realized rapidly, the combat entity and combat rule modeling is realized, a development system architecture is adopted, various combat scene simulation requirements such as air defense suppression and electronic countermeasure can be supported, a parameterized model development tool is adopted, various types, various forms and various granularities of simulation models can be accessed, and the parallel simulation of not less than 500 nodes can be supported by adopting the high-performance driving engine.

Drawings

FIG. 1 is a schematic block diagram of a system of the present invention;

FIG. 2 is a schematic block diagram of a model editor of the present invention;

FIG. 3 is a block diagram illustrating a performance evaluation module according to the present invention;

FIG. 4 is a schematic diagram of the structure of the evaluation algorithm library of the present invention;

FIG. 5 is a flow chart of the new module creation of the high performance drive engine of the present invention;

FIG. 6 is a flow chart of the new map module development of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1-6, the present invention provides a technical solution: the simulation training platform for the cooperative combat of the anti-radiation unmanned aerial vehicle comprises a high-performance driving engine, a task scene generation editing module and a simulation model development module, wherein the high-performance driving engine consists of a task editor, a simulation engine, a model editor and a performance evaluation module, the task scene generation editing module consists of task file management, anti-radiation combat task setting, anti-radiation unmanned aerial vehicle and task related equipment application and rule and system environment editing, and the simulation model development module comprises combat solid model development, target characteristic model development, combat environment model development and combat rule modeling.

The simulation engine satisfies the following functions:

(1) Providing a high-performance simulation engine and various simulation resources, and providing model driving and data service support for the system;

(2) The simulation operation scheduling and management control function is provided, the simulation start-stop, playback and data acquisition are supported, and the simulation operation state can be monitored;

(3) The method has the integration and joint simulation capability for polymorphic and heterogeneous equipment models;

(4) The system has good compatibility and a secondary development interface;

(5) Supporting large sample simulation, wherein the number of samples is not less than 500;

(6) The detailed state information, key calculation amount change information and various judgment condition triggering conditions of each model can be observed at each time point in the simulation process;

(7) The simulation system has the function of real-time workbench control, and supports the control of acceleration, deceleration, suspension, interruption and the like of the simulation process;

(8) Supporting simulated data recording and playback replay based on the data recording;

(9) And a line graph, a bar graph and the like can be adopted for outputting some important attention indexes, so that the data can be updated in real time.

And (3) developing a target characteristic model: the anti-radiation unmanned aerial vehicle mainly plays a role in suicide type attack on a ground remote warning radar, hard damage or forced radar shutdown and other means are used for shielding an aircraft from sudden protection, the unmanned aerial vehicle takes radar reconnaissance direction-finding equipment of a self seeker as an interception device, when the radar reaches a position with a certain distance from an enemy radar at cruising speed and height, the seeker starts to detect the radar signal direction and approaches to fly towards the detected radar direction, and meanwhile, the enemy counteracts the anti-radiation unmanned aerial vehicle to find the anti-radiation unmanned aerial vehicle mainly through the warning radar of a ground air defense radar network through detection, basic attribute parameters of the anti-radiation unmanned aerial vehicle are transmitted to a target indicating radar to form target position information with higher precision, the guided radar is guided to track and position the target, and finally the missile attack target is controlled.

In the invention, the model editor comprises a combat entity model, a target characteristic model and a combat rule model, and the parameters of the combat entity, the target characteristic and the combat rule model are modified, stored and previewed through acquiring the data of the bottom model.

In the invention, the combat solid model development comprises the translation and rotation of an aircraft, the modeling of a central position, the influence of each airframe component, the modeling of a jet engine, the modeling of a hydraulic system and the modeling of a control system.

Translational and rotational motion of the aircraft: the aerodynamic performance of the aircraft is calculated based on basic physical formulas, wherein the method comprises the steps of describing translation and rotation of a rigid body based on external force and based on moment, and enabling the track and rotation of an aircraft model to look more natural due to the fact that the internal characteristics of the aircraft are correctly modeled, so that the aircraft appears smooth in action in the switching process of different flight modes, abrupt angular velocity and altitude change are avoided (such as tail slip or single-wheel landing of the aircraft at a certain rolling angle), and gyroscope effects generated by rotation of the aircraft are taken into consideration; asymmetric effects of external forces are also taken into account, and the effects of external forces will not pass through the center of gravity (e.g., engine thrust, drogue forces), which are properly modeled on the aircraft and can produce an appropriate moment of inertia.

Modeling of the barycenter position: modeling of the transverse and longitudinal centroids was introduced, which will vary with the amount of oil and the loading of the weapon; asymmetric loads, resulting from weapon loads as well as fuel loads, also affect lateral control of the aircraft (depending on the speed of flight, normal loads, etc.), which are also modeled.

Effects of the various fuselage components: when calculating aerodynamic properties of the aircraft itself, the aircraft is considered as a combination of a stack of fuselage components (e.g., fuselage, outer wing panels, fins, etc.), the aerodynamic properties of each individual fuselage component are calculated individually, and the overall calculation includes local angle of attack and sideslip (including calculations that exceed zero boundary points), local dynamic pressure and mach number, aerodynamic changes to the aircraft caused by varying degrees of damage to the aircraft control surfaces and other fuselage components are taken into account;

when a component of the aircraft is damaged, the motion of the aircraft is simulated according to natural laws, when the component of the aircraft is damaged, the aerodynamic simulation of the component is partially or completely removed from the aerodynamic calculation of the whole aircraft, the modeling of the aircraft flight guarantees the real handling of the aircraft at stall (the wing sway and accompanying continuous course oscillations), various characteristics of aerodynamic sway based on the flight mode are introduced, these depending on the load of the aircraft, the angle of attack and mach number (within the allowable range), etc.

Modeling of jet engines: the modeling of jet engines consists of several main parts: a compressor, a combustion chamber, a turbine and a starter generator,

the engine speed in the slow-vehicle state depends on the altitude, mach number and weather conditions of the aircraft: the air pressure and temperature, throttle and maneuverability of the engine depend on the rotational speed of the engine, the gas temperature after the turbine of the engine will depend on the operating mode of the engine, the flight mode of the aircraft and the meteorological conditions, the nonlinear consumption of fuel depends on the operating mode of the engine and the flight mode, the accurate modeling of the operating parameters (gas speed and temperature) of the engine during the period from on to off, the engine starting the engine under the autorotation mode due to improper throttle position, restarting the engine or restarting the engine with airflow may cause strong airflow or engine failure (with sustained warm-up).

Modeling of the hydraulic system: each hydraulic system has its own operating object (landing gear, aileron drive, flap, leading edge flap, adjustable stationary wing, nose landing gear steering and braking system, etc.), the pressure of the left and right hydraulic systems will depend on the balance efficiency of the hydraulic pump and the efficiency of the hydraulic pump of the system operating object (booster, actuator, etc.) to the consumption of pressure depends on the speed of the left and right engines, their hydraulic consumption depends on their working strength, modeling the corresponding drop pressure of the hydraulic system when the hydraulic servo is in full or partial failure.

Modeling of the control system: the main modeling of the control system includes the following main components: the trim set and trim effect, hydraulic booster and yaw damper on the roll channel, trim of pitch angle, modeling of yaw and modeling of the mechanical devices of aileron trim are all based on different logic, and in particular, the trim position of the aircraft pitch angle does not affect the position of the speed controller when airspeed is near zero. The availability of trim systems depends on the energy supply on the aircraft electrical system;

in the model quoting process, the capability-level-based combat concept design and verification adopts a 3-degree-of-freedom kinematic equation, and the equipment-level-based core index demonstration adopts a 6-degree-of-freedom kinematic equation:

the granularity of the anti-radiation unmanned aerial vehicle model can be customized according to user requirements and task scenes, and definable parameters mainly comprise: 1) Basic performance parameters; 2) Pneumatic parameters; 3) Load function parameters, etc.:

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the main parameters are as follows:

the early warning machine is an important part in a cooperative combat mode of the anti-radiation unmanned aerial vehicle, and mainly plays roles in investigation, decision and command of the overall situation of a combat scene, so that the appropriate early warning machine model can be selected in a high-performance driving engine model library, when an enemy area is detected, the optimal place and time are selected for throwing the anti-radiation unmanned aerial vehicle, and the reference of aiming data can be provided;

after the model of the anti-radiation unmanned aerial vehicle and other aircrafts is established, the task starting time of the equipment can be defined in a window below the model editor, and meanwhile, the time consumed by the model for flying along the route can be displayed according to the defined route.

In the invention, the combat environment model development comprises combat map development, combat weather modeling and modeling of a combat building and other static auxiliary objects, wherein the combat rule modeling comprises firing rules and reactions when the combat environment model is in face of threat.

Battlefield map development: the development flow of the map scene mainly comprises the following steps: map data processing, 3d max processing data, and importing a high-performance driving engine.

Modeling battlefield weather: the weather tool panel has 2 options for setting the weather in a task: standard weather and dynamic weather, wherein the standard weather refers to standard static weather set before a task starts; the dynamic weather is the weather formed by atmospheric pressure difference, and can dynamically change when the task is carried out;

the following description is mainly directed to modeling of standard weather, and the weather panel is composed of 6 parts: season, cloud, atmosphere, wind, turbulence, fog and weather templates, above the window is a season panel for setting the season and sea level temperature (degrees celsius) when the task occurs, and a left drop down menu for selecting four seasons: the main effect of season change is that the land scenery changes in the games in summer, winter, spring and autumn, in addition, many ground vehicles have coating matched with seasons, an input box on the right side is used for setting sea level temperature in a mission, the temperature can be set by a left arrow and a right arrow or can be manually input in the input box, and the atmospheric temperature can influence the performance of an aircraft;

cloud layer and atmosphere module are used for defining the atmospheric environment in the task, and the cloud in the task is static to can not change along with the progress of task, and the setting of cloud divide into following several parts from top to bottom: 1) The cloud bottom defines the sea level altitude of the bottom of the cloud layer, the range is 300 to 5000 meters, the altitude is displayed on the right side, and the altitude is set through a left arrow key and a right arrow key or a sliding block; 2) The thickness of the cloud layer from the cloud base is defined, for example, if the cloud base height is set to 2000 meters and the thickness is set to 1000 meters, the cloud ranges from 2000 meters to 3000 meters from sea level, note that the cloud layer thickness only affects the rain layer cloud (cloud amount 9 to 10) and does not affect the broken cloud (cloud amount 1 to 8), the cloud layer thickness is adjusted by a left-right arrow or a slide block, and the value is displayed on the right side in meters; 3) Cloud quantity defines the density of the cloud in the task, and note that the cloud coverage in the whole software sky is consistent, the cloud quantity is set according to the proportion of 0 to 10, and 0 indicates no cloud; 1 to 8 represent a stepwise increase in the density of the dispersed clouds;

the wind setting function is not a single wind direction and speed, and can be set at three levels: sea level, 2000 meters, and 8000 meters, which are set in three rows in the area where the weather tool sets the wind, set the wind speed in meters per second (m/s) with left and right arrows, note that the wind speed is constant after setting, instead of gusts, and the wind direction setting on the right of the wind speed can be set in two ways, the first is to set the required wind direction by clicking a knob (the top of the knob represents north), the second is to input the azimuth value with left and right arrow buttons, for example, when setting to 0 degrees (north), the wind in the task will blow from north to south.

Modeling battlefield buildings with other static auxiliary objects: in order to fill the battlefield environment, in addition to placing the main air, ground and water units necessary for the battlefield task, static versions of these targets may also be placed, with the static targets sharing the same external model as their paired activation targets, but they cannot move nor use sensors and weapons, units that do not want to activate, only one unit may be placed in each group;

country: the drop-down menu shows the countries of the red party or the blue party specified in the task created by the button for creating the new task at the beginning;

category: the categories of static objects are divided into six major categories:

(1) Ground vehicle: including vehicles available in the selected country;

(2) Helicopter: a helicopter comprising the selected country;

(3) Helicopter landing field: allowing a forward ammunition fuel replenishment point (FARP) to be placed for front line helicopter action, when a FARP is set, selecting FARP call signs from call sign drop-down menus for radio communication and setting station frequency in MHz in a frequency input box;

(4) An aircraft: a fixed wing aircraft comprising the selected country;

(5) Ship: including vessels owned by the selected country;

(6) Building: including pillboxes and other types of buildings (military and civilian).

Model: a series of suitable units are listed in the drop down list depending on the category selection.

Orientation: this controller may be used to set the orientation of the unit in the simulated world, which may be done using left and right arrows, entering orientation values, or clicking on an orientation knob.

Hiding: this check box is checked if it is desired to hide the static object on the world map and to this unit accordingly in the presentation map.

Matrix death: in addition to normal static objects, it is also possible to check that the matrix death check box can wish to enrich the game world with destroyed objects.

In addition, the model editor supports a group copy/paste function, to copy a group, select it, paste the group when it is to be attached with properties according to CTRL+C, move the mouse to the desired point on the map and press CTRL+V.

Firing rules: setting firing rules is to determine combat behaviors when encountering enemy units, including free firing, counter-firing and stopping fires:

free firing: attacking any targets found, the target priority being automatically ordered according to the group in the current situation, the group of targets designated as enemies of the targets being the primary target and being attacked preferentially, once the primary target is destroyed, the remaining target priorities being automatically ordered by the group in the current situation;

firing: default settings for all groups are firing, only attack tasks are designated as targeted enemy units;

and (5) countering: only the counterattack is performed, and the firing is not performed at first;

stopping the fire: in any case, no firing is necessary.

Reaction in the face of threat: mainly comprises the following steps:

no reaction: no defensive action is taken against the threat;

allowing the task to be relinquished: allowing the group to stop the task when attacked;

passive defense: passive and active defensive measures are used, but defensive maneuvers are not taken against close threats;

avoiding firepower: using passive and active defensive measures while adopting defensive maneuvers against approaching threats, default settings for all groups to avoid firepower;

vertical evasion maneuver: the group will be able to raise or lower in height to avoid a known threat loop, the group will use both active and passive defensive measures;

the options for the threat are only valid when defending, and the ROE (rules of engagement) option is active when an attack is made, in other words, the ROE option has a higher priority than the options for the threat.

In the invention, the task editor comprises equipment deployment, mounting configuration, weapon deployment, route planning, trigger design engagement rules, task action definition and editing, on-flight task setting and route point action setting.

Equipment deployment: model type, control role, affiliated camping and executing task; mounting configuration: weapon mount and functional pod mount; deployment of force: number, longitude, latitude, altitude, formation spacing; planning a route: route, waypoint location, waypoint status (speed, altitude); setting the waypoint action: task editing can be performed through the interactive interface, and related data of the aircraft task can be obtained through reading the bottom lua file.

In the present invention, the performance evaluation module mainly includes: the system comprises a performance evaluation design basic environment, an experiment sample design, an index system design, a system index analysis, a system performance evaluation, a data visualization, an evaluation data management and evaluation algorithm library, wherein the anti-radiation unmanned aerial vehicle evaluation system is divided into three layers, namely a system layer, a functional layer and a quantitative index layer, the evaluation indexes adopt unified standards to measure relative values obtained by the operational performances of different anti-radiation unmanned aerial vehicles, and the method is simple, convenient to use and suitable for macroscopic analysis and rapid evaluation:

the evaluation algorithm mainly comprises an experiment design algorithm, an index analysis algorithm, a killing chain analysis algorithm, a multi-sample analysis algorithm and an evaluation algorithm.

In the present invention, the model editor consists of 4 main areas: world maps, tasks and maps bars, systems bars and tool bars.

World map: the map occupies most of the area of the screen, displaying a geographic map, various units, paths and other task elements, the world map displaying a black sea area, the eastern part having a rich detail of the terrain, the other parts of the map simply displaying the terrain, not as rich as the eastern part, the data to be displayed on the map can be filtered in the options menu, such as: urban areas, rivers, roads, etc.

Task and map column: at the bottom of the screen is a task and map field showing the information of the position of the mouse on the map, as well as the task name and current time, the task and map field at the bottom of the screen showing the loaded task name, coordinates and altitude, map scale and map mode and the current time set according to the Windows system (not task time), the coordinates and altitude showing the position of the cursor on the map, changing with the movement of the mouse, corresponding to the coordinates and altitude in the real world, can be used to determine the exact coordinates of an object, then in the task bulletin, the cursor showing altitude can be set as feet or meters, in options/games/units, the coordinate showing format can be latitude/longitude, decimal latitude/longitude and MGRS coordinates, in options/other/coordinate displays.

System column: at the top of the screen is a system field for managing files, entering campaign editors, encyclopedias, producers, starting video and several other functions as in the toolbar, the system field being at the top of the screen, containing various drop-down menus: files, edits, flights, campaigns, customizations, task generators, and others, left clicking a mouse to select one of the items, and system bar drop down menus contain the following functions: file, edit, fly, campaign generator, etc.

Tool bar: the toolbar is used for quickly accessing common functions such as placing units, setting environmental attributes, weather conditions, creating triggers, setting trigger areas, setting targets and file management, and when the toolbar functions are not opened, the mode is displayed as a panel/selection, and after the tool is selected, such as selecting to add a helicopter, adding a trigger area, and the like, the selection mode is displayed.

Auxiliary editing of engagement rules based on triggers: in addition to the existing alternative fight rules, in order to set the action of intelligent response with other AI units more flexibly, the fight rules and auxiliary editing of actions can be performed based on triggers, wherein the rules can be through activating units, text and voice information, or setting flag states, the range of conditions for triggering can be that the units enter and exit from a designated area on a map, the units are destroyed or damaged, specific time, flag states, even random states, tasks which cannot be generated by an automatic task generator can be created by using the tools, and a trigger system is not an 'event' type system but a 'condition' type system; this means that the trigger does not occur when something happens, but when the condition is true, setting the trigger condition involves three steps: 1) Creating a new trigger; 2) Creating a condition of the trigger; 3) An action is created that would be caused when the condition is true.

And all that is not described in detail in this specification is well known to those skilled in the art.

When the system is used, when a task is designed, the combat scene can be manufactured from two basic ideas according to the difficulty and complexity of the task: 1. simple: when placing units and setting paths, selecting default paths and task settings as much as possible, and modifying as little as possible (automatically generating the action of the units); 2. high-grade: fine control of the units of action is achieved using an advanced action panel in the units group properties menu. The first approach requires only a minimum of interactive interface usage, the task designer's desired activities are implemented by AI unit groups, which is based on an automated action activity program pre-written into the AI, in which the AI will basically move along their path and start the attack immediately when the enemy unit enters the attack scope, which depends on the unit type and the task, but the default created AI action does not always produce the desired results, especially for some tasks involving complex AT actions, such as only attacking certain kinds of ground target groups in different target areas or restrictions on a specific weapon, so in this case the desired actions should be implemented by creating and configuring unit group action implementations in detail using advanced action panels, and in addition, the change of actions can be implemented by editing AI action scripts, with a great flexibility, the next step of setting the unit group waypoints in the object editing after selecting a suitable number of combat entity objects such as a reverse-radiating unmanned aerial vehicle and making relevant performance parameter settings, a basic function ("arrival time and speed desired arrival time") is chosen.

Mission action actions include combat actions, interception targets, and maneuvers. By creating a mission action, the mission designer directs the AT to perform a specific combat function AT a specific point in the mission. For example: fly around a site, attack an enemy unit group, etc. Task actions have the highest execution priority for a and are typically used to set the primary actions of a unit group at a waypoint. The AI will perform one of the task actions at the same time from among several task actions at the same time, depending on the order and priority of the task actions. Execution of the task actions may be terminated either automatically at the game AI or according to termination conditions set by the task designer. For example, an AI may stop an attack when its designated set of units is totally destroyed, or when it lights all available martial arts ammunition. Further, an attack of the AI may be forcibly terminated by setting an action termination condition, such as an action duration limit.

The task drop down menu allows for the selection of group tasks that can be effective in the overall task process, which can be available and automatically generated actions in the advanced action panel, as well as filters that can be installed by default, and specifically describes the type of multi-task scenario designed as follows:

none: the mission of this mission is assumed to be fight-free flight along the course. The anti-radiation unmanned aerial vehicle or other aircraft does not take any active action on the enemy and only flies along his route. When being threatened by an adversary attack, the method can try to avoid;

air defense compression (sea): using a more specific rule to enable an attacker to attack an enemy anti-air space by using an anti-radiation missile or other types of weapons;

space-based forward air command (AFAC): the task of air-based advancing air command sets a specified aircraft smoke rocket projectile or a lighting projectile to mark a target, and for night tasks, the task has a great effect and can request to allocate an aircraft to support the execution of a close range air support (CAS) task;

reverse warship: attack enemy naval vessels with anti-naval missiles;

air pre-warning machine (AWACS): the aircraft flies according to a planned straight line or a round route by using a circulating route point, when an enemy aircraft is detected, early warning is provided for the aircraft, an air-ground missile array and a ship, some air-ground missile systems can directly receive aiming data from an AWACS, and when a search radar is destroyed, the detection of the AWACS can be limited by distance, ultra-low target height and terrain shielding;

air combat patrol (CAP): cycling around defined waypoints to defend an area from enemy aircraft intrusion, this type of task does not involve the discovery and destruction of enemy ground targets or interception of off-plan wayaircraft, while at high altitudes, CAP would make aircraft interception easier due to low air resistance, the sandwich combination of high/low CAP is typically the most balanced deployment, and the key factor for patrol is fuel loading, which limits CAP distance and duration unless mission designers manually disable in advanced action panels, all aircraft would immediately stop patrol and return straight to the base when fuel falls to the minimum required amount to guarantee backhaul (fuel-starvation state);

close range over the air support (CAS): actively searching for enemy ground targets and destroying them to support the attacked friend ground units on the battlefield, which task is most suitable for being performed using attack machines and helicopters;

piloting: this task is generally assigned to fighter aircraft and attack helicopters, involving aviators (transport, bomber or attack aircraft) and protecting them along the route from possible enemy aircraft or from the air defense system, while flying, without fight against enemy aircraft that do not present a threat or are significantly away from the route;

air combat bucket: the main aim of the fighter is to win the air advantage and ensure that the fighter aircraft is unobstructed in the airspace, and the aircraft participating in the fighter may find that the aircraft needs to fight in a place quite far away from the airport for a long time, so the fuel loading is also a key factor;

ground attack: for attacking enemy ground targets using various air-to-ground weapons, this type of mission may involve the use of unguided bombs and unguided rockets, and, unless otherwise provided in advanced mission options, generally defaults to the use of remote weapons, such as guided air-to-ground missiles, and then short range weapons, such as unguided rockets and plane cannons;

interception of: defensive tasks, in which the aircraft must perform an active search to make enemy planes and/or receive aiming data from ground-based, space-based radars, are mainly aimed at large-scale defenses and active patrol, should be avoided from being used when defending small areas or local defenses, and in addition, when the interceptor chases the enemy planes, the interceptor may be far away from its planned route, which may cause the area to be defended to lose defenses;

accurate striking: discovering and using precisely guided weapon attack surface targets;

reconnaissance: the aircraft flies according to the assigned scout mission waypoints of which information is collected;

make-up fuel: the mission scenario is mainly aimed at an air oiling machine, and an aircraft allocated with the mission can supply fuel to any friend aircraft with insufficient fuel during the flight of the aircraft;

anti-runway: the specific form of ground attack, which allows the aircraft to automatically align the axis of attack with the extension of the target runway, is useful in throwing anti-runway weapons, requires setting a sighting area on the airport of attack and selecting the airport in the target class;

transportation: the aircraft assigned the transport mission does not participate in any action of actively opposing enemy forces, only flies along its route, and will attempt to avoid when threatened by enemy attacks.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. The utility model provides a simulation training platform for anti-radiation unmanned aerial vehicle collaborative combat, includes high performance driving engine, task scene generation edit module and simulation model development module, its characterized in that: the high-performance driving engine consists of a task editor, a simulation engine, a model editor and a performance evaluation module, the task scene generation and editing module consists of task file management, anti-radiation combat task setting, anti-radiation unmanned aerial vehicle and task related equipment application rules and system environment editing, and the simulation model development module consists of combat solid model development, target characteristic model development, combat environment model development and combat rule modeling.

2. The simulation training platform for cooperative combat of a reverse-radiating unmanned aerial vehicle of claim 1, wherein: the model editor comprises a combat entity model, a target characteristic model and a combat rule model.

3. The simulation training platform for cooperative combat of a reverse-radiating unmanned aerial vehicle of claim 1, wherein: the combat solid model development comprises translational and rotational modeling of an aircraft, modeling of a central position, influence of each fuselage assembly, modeling of a jet engine, modeling of a hydraulic system and modeling of a control system.

4. The simulation training platform for cooperative combat of a reverse-radiating unmanned aerial vehicle of claim 1, wherein: the combat environment model development includes battlefield map development, battlefield weather modeling, and modeling of battlefield buildings and other static auxiliary objects, and the combat rule modeling includes firing rules and responses in the face of threats.

5. The simulation training platform for cooperative combat of a reverse-radiating unmanned aerial vehicle of claim 1, wherein: the task editor comprises equipment deployment, mounting configuration, weapon deployment, route planning, trigger design engagement rules, task action definition and editing, on-the-fly task setting and route point action setting.

6. The simulation training platform for cooperative combat of a reverse-radiating unmanned aerial vehicle of claim 1, wherein: the efficacy evaluation module mainly comprises: performance evaluation design basic environment, experiment sample design, index system design, system index analysis, system performance evaluation, data visualization, evaluation data management and evaluation algorithm library.

7. The simulation training platform for cooperative combat of a reverse-radiating unmanned aerial vehicle of claim 1, wherein: the model editor consists of 4 main areas: world maps, tasks and maps bars, systems bars and tool bars.

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