Method and system for deducing and verifying target range measurement and control scheme through combination of number and reality

Abstract

The invention provides a data-real combined deduction verification method for a target range measurement and control scheme. The method comprises the following steps: constructing a digital model of a tested object; constructing a digital model of the measurement and control equipment; constructing a digital model of a target range environment; based on the digital models of the tested object, the measurement and control equipment and the target range environment, executing digital simulation deduction, simulating various target range scenes, and evaluating feasibility and effectiveness of a measurement and control scheme; and carrying out actual installation drill verification based on the deduction result, verifying the simulation result through actual measurement and control equipment, and recording and analyzing data. According to the method, the digital models of the tested object, the measurement and control equipment and the target range environment are constructed, and the method of combining digital simulation deduction and actual installation drilling is combined, so that the target range testing efficiency is greatly improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of range measurement and control engineering, and particularly relates to a method and system for numerically and physically combined deduction and verification of range measurement and control schemes. Background Technique

[0002] With the continuous development of modern military technology, range measurement and control technology has become an important link in the performance evaluation and verification of weapon systems such as aircraft, missiles, and unmanned aerial vehicles. Traditional range tests mainly rely on field experiments. However, actual range tests have many problems such as high costs, environmental limitations, equipment wear, and safety risks. Especially when testing high-dynamic targets such as aircraft and missiles, the test conditions are complex and cannot be repeated, resulting in a high degree of uncertainty in the test process. In addition, traditional range tests require a large amount of manual operation, with low efficiency and long cycles, and cannot quickly and effectively verify new equipment.

[0003] In order to improve the efficiency and accuracy of range tests, in recent years, digital simulation technology has gradually become an important development direction in the field of range measurement and control. By constructing digital models of the test article, measurement and control equipment, and range environment, real range scenarios can be simulated in a virtual environment, thereby conducting all-round and multi-angle performance evaluations. However, existing range simulation and deduction systems still have certain limitations, mainly reflected in the lack of effective integration with field tests. Although digital models can provide theoretical support, they cannot truly reflect the responses of equipment in the actual environment. Especially in extreme scenarios such as complex weather and electronic interference, there may be significant differences between the model and the actual performance.

[0004] Therefore, how to combine digital simulation with field exercises to verify the feasibility and effectiveness of the measurement and control system has become the core issue in the development of current range measurement and control technology. By combining digital deduction with actual equipment exercises, the test accuracy and reliability can be improved while reducing experimental costs and risks, thereby providing a more scientific and comprehensive solution for the research and development of new weaponry and the verification of combat performance. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for deducing and verifying a range measurement and control scheme. Based on the actual situations of the test article and measurement and control equipment, corresponding digital models are constructed, boundary conditions are simulated, and extreme scenarios are constructed, so as to fully deduce and verify the feasibility and effectiveness of the measurement and control scheme in two dimensions of digital simulation and actual equipment exercises.

[0006] The technical solution of the present invention is as follows: A method for numerically and physically combined deduction and verification of a range measurement and control scheme includes the following steps: Constructing a digital model of the test object, wherein the digital model of the test object includes geometric parameters, aerodynamic characteristics, power system parameters, flight performance parameters, dynamic behavior model, sensor model and stress load model of the test object; Constructing a digital model of the measurement and control equipment, wherein the digital model of the measurement and control equipment includes working parameters of the measurement and control equipment, a sensor model, a control system model, and a communication model; Construct a digital model of the range environment, including the range terrain model, meteorological model, and electromagnetic environment model; Based on the digital models of the test object, measurement and control equipment and range environment, perform digital simulation to simulate various range scenarios and evaluate the feasibility and effectiveness of the measurement and control scheme; Based on the simulation results, actual equipment drills are carried out to verify the simulation results through actual measurement and control equipment, and the data is recorded and analyzed.

[0007] Furthermore, the step of constructing a digital model of the test object specifically includes: (1) Obtain the geometric parameters of the test object, including the length, width, height, weight, center of mass position, and center of mass coordinates of the test object; (2) Obtain the aerodynamic characteristics of the test object, including lift coefficient, drag coefficient, wingspan, wing area, and tail area; (3) Obtain the power system parameters of the test product, including engine thrust, fuel consumption rate, operating mode, and power transmission efficiency; (4) Obtain the flight performance parameters of the test product, including maximum flight speed, cruising speed, minimum flight speed, maximum overload, flight altitude, and range; (5) Establish a dynamic behavior model of the test object to simulate its acceleration, flight trajectory, pitch angle and roll angle under different flight conditions; (6) Establish the sensor model of the test product and simulate the working characteristics of the sensor, including measurement range, accuracy, response time, and error model; (7) Establish the load and stress model of the test object, including the aerodynamic loads and structural stresses that the aircraft is subjected to during flight.

[0008] Furthermore, the construction of the digital model of the measurement and control equipment specifically includes: (1) Obtain the working parameters of the measurement and control equipment, including the detection frequency band, maximum detection distance, response time, and accuracy of the measurement and control equipment; (2) Establish the sensor model of the measurement and control equipment and simulate the sensor's detection range, response time, accuracy, and error model; (3) Establish the control system model of the measurement and control equipment, including control logic, tracking algorithm, and data processing algorithm; (4)Establish the communication model of the measurement and control equipment, including communication bandwidth, latency, transmission protocol, data packet loss rate, and bit error rate.

[0009] Further, the specific steps for constructing the digital model of the test range environment include: (1)The terrain model of the test range, including the geographical location, three-dimensional terrain, obstacles, and reflection characteristics of the test range; (2)The meteorological model, including wind speed, temperature, humidity, air pressure, and precipitation in the test range area; (3)The electromagnetic environment model, including the propagation characteristics of electromagnetic waves, the influence of electromagnetic interference sources, and spectral characteristics.

[0010] Further, the digital simulation and deduction include the following steps: (1)Set multiple scenarios for simulation and deduction, including normal scenarios, extreme scenarios, and abnormal scenarios; (2)Conduct dynamic simulation on the test article, simulating different flight trajectories, maneuvering modes, and external environment changes; (3)Conduct simulation and deduction on the measurement and control system, simulating target tracking, data transmission, the response ability of the measurement and control equipment, and the accuracy of the control system.

[0011] Further, the actual equipment drill process includes the following steps: (1)Install the actual measurement and control equipment and the test article, and arrange the actual measurement and control system and the test article in the test range; (2)Execute real-time tracking and measurement, and track and measure the target in the simulation scenario through the measurement and control system; (3)Collect actual operation data, and record the tracking accuracy, measurement error, response time, and flight state of the target.

[0012] The present invention also provides a digital-physical combined deduction and verification system for a measurement and control solution, including: A test article digital model construction module for constructing a digital model of the test article, where the digital model includes the geometric parameters, aerodynamic characteristics, power system parameters, flight performance parameters, dynamic behavior model, sensor model, and stress load model of the test article; A measurement and control equipment digital model construction module for constructing a digital model of the measurement and control equipment, where the digital model includes the working parameters, sensor model, control system model, and communication model of the measurement and control equipment; A test range environment digital model construction module for constructing a digital model of the test range environment, where the environment model includes a test range terrain model, a meteorological model, and an electromagnetic environment model; A digital simulation deduction module for performing digital simulation deduction based on the digital models of the test article, measurement and control equipment, and test range environment, simulating multiple test range scenarios, and evaluating the feasibility and effectiveness of the measurement and control solution; The actual installation exercise module is used to conduct actual installation exercise verification based on the simulation results, install measurement and control equipment and test products, collect actual operation data, and record the tracking accuracy, measurement error, response time and flight status of the target; The data analysis and optimization module is used to analyze the actual equipment exercise results, compare them with the simulation results, adjust the measurement and control plan based on the differences, and optimize the measurement and control equipment configuration and the flight trajectory of the test product; Furthermore, the digital simulation module and the actual installation exercise module are connected via a data exchange interface for real-time updating and synchronization of verification results of the simulation and actual installation exercise.

[0013] Compared with the prior art, the present invention has the following advantages: The present invention greatly improves the efficiency of range testing by constructing digital models of the test object, measurement and control equipment, and range environment, and combining digital simulation deduction with actual installation drills. Compared with the traditional method that relies on field testing, digital simulation can quickly simulate different scenarios and environmental conditions, reducing the test cycle and cost. Especially for tests in extreme or abnormal environments, simulation deduction can predict and verify the feasibility of the measurement and control scheme in advance, avoiding a large number of field experiments, thereby saving a lot of manpower, material resources and time resources.

[0014] Traditional range testing requires high costs for test equipment, aircraft and sites, and involves personnel safety risks. Through the digital simulation deduction method of the present invention, a large number of tests and verifications can be carried out in a virtual environment, avoiding high-risk and high-cost field tests. At the same time, combined with the actual installation drill verification link, the measurement and control scheme can be more efficiently detected and optimized, avoiding invalid repeated tests and reducing the overall test cost.

[0015] The present invention can comprehensively evaluate the feasibility and effectiveness of the measurement and control scheme through simulation and deduction of various range scenarios (conventional scenarios, extreme scenarios and abnormal scenarios). Especially under extreme conditions (such as storms, electromagnetic interference, etc.), simulation and deduction can accurately predict the target behavior and the response of the measurement and control system, so as to make effective adjustments and optimizations before actual exercises, and ensure the stability and accuracy of the system in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings generally illustrate various embodiments by way of example and not limitation, and together with the description and claims, serve to illustrate the embodiments of the invention. Where appropriate, the same reference numerals are used throughout the drawings to refer to the same or similar parts. Such embodiments are illustrative and are not intended to be exhaustive or exclusive embodiments of the present apparatus or method.

[0017] Figure 1 A schematic flow chart of the steps of the present invention is shown. Specific implementation manners

[0018] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0019] As Figure 1 shown, the present invention provides a method for numerically-physically combined deduction and verification of a range measurement and control scheme, including the following steps: Step 1: Construct a digital model 1.1 Construct a digital model of the test article Step 1.1.1: Collect detailed physical parameters of the test article Obtain all physical parameters of the test article, including: Length, width, height, weight, mass center position, center of gravity position; Aerodynamic characteristic parameters of the aircraft, such as lift coefficient, drag coefficient, tail surface area, wingspan, wing area; Parameters of the propulsion system, such as engine thrust, fuel consumption rate, power-to-weight ratio; The maximum flight speed, cruise speed, minimum flight speed, and maximum overload of the aircraft; Obtain the working parameters of the sensor, including: The detection band of the sensor, such as the frequency range of the radar and the wavelength range of the infrared sensor; The field of view angle, response time, accuracy, and resolution of the sensor; The measurement range, maximum detection distance, and error range of the sensor.

[0020] Step 1.1.2: Establish a dynamic model of the test article According to the physical parameters collected above, establish a dynamic model of the test article to simulate its flight behavior under different airflow conditions, including: The changes in the acceleration, heading angle, pitch angle, and roll angle of the aircraft; The flight trajectory, speed change, moment generated during maneuvering, and aerodynamic load of the aircraft; Adopt numerical solution methods (such as Euler method, Runge-Kutta method, etc.) to accurately solve the motion of the aircraft to ensure that the model reflects the dynamic behavior in the actual flight process.

[0021] Step 1.1.3: Simulate the actions and reactions of the test article Simulate the maneuvering behavior of the test article to simulate its response when encountering external disturbances (such as changes in meteorological conditions, electromagnetic interference, etc.), including: The maneuverability of the aircraft during high-speed flight, simulating actions such as sharp turns, acceleration, and deceleration; Simulate the flight trajectory changes of the aircraft, such as lateral drift and longitudinal offset; Simulate the response of the aircraft under abnormal conditions, such as the evasive actions when encountering sudden obstacles.

[0022] 1.2 Build a digital model of the measurement and control equipment Step 1.2.1: Collect information on the measurement and control equipment Obtain the technical parameters of the measurement and control equipment (such as radar, optoelectronic tracking equipment, data link, command and control system, etc.), including: The operating frequency band, transmit power, maximum detection range, maximum number of target tracks, minimum detectable target size, and detection accuracy of the radar; The spectral response range, resolution, detection accuracy, field of view angle, and maximum detection range of the optoelectronic equipment; The transmission bandwidth, bit error rate, delay, and communication method (such as pulse coding, frequency division multiple access) of the data link; The response time, processing capacity, and fault recovery time of the command and control system.

[0023] Step 1.2.2: Establish a sensor model of the measurement and control equipment Based on the working principle of the measurement and control equipment, establish its sensor model and simulate the working characteristics of each sensor, including: The detection mode of the radar system, such as continuous wave and pulse mode; The resolution and field of view angle of the optoelectronic equipment; The detection range, accuracy, maximum detection angle, and signal attenuation of various sensors; The error model, including the error sources (such as multipath propagation and weather interference) and the error range.

[0024] Step 1.2.3: Establish a control and communication model of the measurement and control system Model the control and communication parts of the measurement and control system, including: The control logic of the measurement and control system, such as tracking algorithms (PID control, Kalman filter); The bandwidth, delay, transmission protocol, and coding method of the communication system; The data transmission delay, data packet loss rate, and bit error rate of the measurement and control system.

[0025] 1.3 Build a digital model of the test range environment Step 1.3.1: Build a terrain model of the test range Obtain the detailed geographical information of the test range and establish a three-dimensional terrain model of the test range, including: The ground reflection characteristics, including the ground reflection coefficient, altitude, and terrain undulation; The obstacle model, such as buildings, mountains, forests, and towers; Influence of special ground areas (such as water areas, deserts, grasslands) on signal propagation.

[0026] Step 1.3.2: Build a meteorological environment model Based on the meteorological data of the test range area, establish a meteorological model, including: Wind speed, wind direction, temperature, humidity, air pressure, precipitation, haze concentration; Atmospheric refractive index, signal attenuation rate, influence of rain and snow weather; Atmospheric distribution at different altitude levels and its influence on sensor signals.

[0027] Step 1.3.3: Establish an electromagnetic environment model Simulate the electromagnetic environment, including: Electromagnetic wave propagation model, considering the influence of signal refraction, diffraction, and reflection; Modeling of electromagnetic interference (EMI) sources, such as power lines and lightning; Spectral characteristics, bandwidth, and frequency interference of signals.

[0028] Step 2: Digital simulation and deduction 2.1 Selection and construction of the simulation platform Step 2.1.1: Select the simulation platform Select a high-performance simulation platform, such as MATLAB / Simulink, Modelica, ANSYS, which supports multi-physics field simulation, time-domain and frequency-domain simulation.

[0029] Step 2.1.2: Build the simulation environment Build an integrated simulation environment on the simulation platform to ensure the coordinated operation of the test object model, measurement and control equipment model, and environment model, and conduct a comprehensive joint simulation.

[0030] 2.2 Construct the simulation scenario Step 2.2.1: Set the simulation scenario According to the task requirements, create multiple test scenarios, including: Normal scenario: Set normal meteorological conditions, standard flight trajectory, and a normally operating measurement and control system; Extreme scenario: Set extreme conditions such as storms, strong electromagnetic interference, and high-speed flight; Abnormal scenario: Set equipment failures, communication interruptions, and sensor malfunctions.

[0031] Step 2.2.2: Set the target behavior and measurement and control requirements Set the flight trajectory of the test object in different scenarios, including takeoff, cruise, turn, landing, and maneuvering flight; Set the task objectives of the measurement and control system, such as tracking accuracy requirements, minimum response time, and maximum error range.

[0032] Step 3: Conduct actual installation and exercise verification based on the deduction results 3.1 Actual installation of measurement and control equipment and test article Install the measurement and control system and the test article in the test range for testing; Deploy measurement and control equipment (radar, optoelectronic equipment, etc.) and connect it to the test article to ensure real-time data interaction.

[0033] 3.2 Perform real-time tracking and measurement Execute real-time tracking tasks in the test range to measure the flight state of the aircraft; Use the sensors of the measurement and control system to track the target to ensure that real-time position, speed, angle and other information of the target can be collected.

[0034] 3.3 Collect and analyze actual operation data Record real-time tracking data and analyze the tracking accuracy, measurement error, response time, etc. of the target; Compare the simulation deduction results with the actual installation exercise data to verify the effectiveness of the measurement and control scheme.

[0035] Step 4: Data analysis and optimization 4.1 Compare simulation deduction and actual installation exercise data Compare the simulation deduction results with the actual installation exercise results and analyze the differences between the two; Identify factors that were not considered or misestimated during the simulation process and propose an optimization plan.

[0036] 4.2 Optimize the performance of the measurement and control system According to the comparison results, optimize the control algorithm, sensor configuration, etc. of the measurement and control system to improve the measurement and control accuracy, response speed and stability.

[0037] 4.3 Scheme verification and adjustment Verify the optimized measurement and control scheme in a new test scenario to ensure that the measurement and control system can work stably under different meteorological, electromagnetic interference and other environments.

[0038] The above is only the preferred specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A method for verifying a range measurement and control scheme by combining numerical and practical simulation, characterized in that: The following steps are involved: Constructing a digital model of the test object, wherein the digital model of the test object includes geometric parameters, aerodynamic characteristics, power system parameters, flight performance parameters, dynamic behavior model, sensor model and stress load model of the test object; Constructing a digital model of the measurement and control equipment, wherein the digital model of the measurement and control equipment includes working parameters of the measurement and control equipment, a sensor model, a control system model, and a communication model; Construct a digital model of the range environment, including the range terrain model, meteorological model, and electromagnetic environment model; Based on the digital models of the test object, measurement and control equipment and range environment, perform digital simulation, simulate various range scenarios, and evaluate the feasibility and effectiveness of the measurement and control scheme; Based on the simulation results, actual equipment drills are carried out to verify the simulation results through actual measurement and control equipment, and the data is recorded and analyzed.

2. The method for verifying the measurement and control scheme by combining numerical and real deduction according to claim 1 is characterized in that: The construction of the digital model of the test object specifically includes: (1) Obtain the geometric parameters of the test object, including the length, width, height, weight, center of mass position, and center of mass coordinates of the test object; (2) Obtain the aerodynamic characteristics of the test object, including lift coefficient, drag coefficient, wingspan, wing area, and tail area; (3) Obtain the power system parameters of the test product, including engine thrust, fuel consumption rate, operating mode, and power transmission efficiency; (4) Obtain the flight performance parameters of the test product, including maximum flight speed, cruising speed, minimum flight speed, maximum overload, flight altitude, and range; (5) Establish a dynamic behavior model of the test object to simulate its acceleration, flight trajectory, pitch angle and roll angle under different flight conditions; (6) Establish the sensor model of the test product and simulate the working characteristics of the sensor, including measurement range, accuracy, response time, and error model; (7) Establish the load and stress model of the test object, including the aerodynamic loads and structural stresses that the aircraft is subjected to during flight.

3. The method for verifying the measurement and control scheme by combining numerical and real deduction according to claim 1 is characterized in that: The construction of the digital model of the measurement and control equipment specifically includes: (1) Obtain the working parameters of the measurement and control equipment, including the detection frequency band, maximum detection distance, response time, and accuracy of the measurement and control equipment; (2) Establish the sensor model of the measurement and control equipment and simulate the sensor's detection range, response time, accuracy, and error model; (3) Establish the control system model of the measurement and control equipment, including control logic, tracking algorithm, and data processing algorithm; (4) Establish a communication model for measurement and control equipment, including communication bandwidth, delay, transmission protocol, data packet loss rate, and bit error rate.

4. The method for verifying the measurement and control scheme by combining numerical and real deduction according to claim 1 is characterized in that: The digital model of the shooting range environment is constructed as follows: (1) Range terrain model, including the range’s geographical location, three-dimensional terrain, obstacles, and reflective characteristics; (2) Meteorological model, including wind speed, temperature, humidity, air pressure, and precipitation in the range area; (3) Electromagnetic environment model, including electromagnetic wave propagation characteristics, the impact of electromagnetic interference sources, and spectrum characteristics.

5. The method for verifying the measurement and control scheme by combining numerical and real deduction according to claim 1 is characterized in that: The digital simulation deduction comprises the following steps: (1) Set up multiple scenarios for simulation, including normal scenarios, extreme scenarios, and abnormal scenarios; (2) Perform dynamic simulation on the test object to simulate different flight trajectories, maneuvering modes, and external environment changes; (3) Conduct simulations of the measurement and control system to simulate target tracking, data transmission, the responsiveness of the measurement and control equipment, and the accuracy of the control system.

6. The method for verifying the measurement and control scheme by combining numerical and real deduction according to claim 1 is characterized in that: The installation drill process includes the following steps: (1) Install measurement and control equipment and test products, and arrange actual measurement and control systems and test products in the shooting range; (2) Perform real-time tracking and measurement, and track and measure the targets in the simulation scene through the measurement and control system; (3) Collect actual operation data and record the target’s tracking accuracy, measurement error, response time, and flight status.

7. A measurement and control scheme digital and real combination deduction and verification system, characterized in that: include: A test article digital model building module, used to build a digital model of the test article, wherein the digital model includes geometric parameters, aerodynamic characteristics, power system parameters, flight performance parameters, dynamic behavior model, sensor model and stress load model of the test article; A measurement and control equipment digital model building module is used to build a digital model of the measurement and control equipment, wherein the digital model includes working parameters, sensor model, control system model and communication model of the measurement and control equipment; A shooting range environment digital model construction module is used to construct a digital model of the shooting range environment, wherein the environment model includes a shooting range terrain model, a meteorological model, and an electromagnetic environment model; Digital simulation and deduction module, which is used to perform digital simulation and deduction based on the digital models of the test object, measurement and control equipment and range environment, simulate multiple range scenarios, and evaluate the feasibility and effectiveness of the measurement and control scheme; The actual installation exercise module is used to conduct actual installation exercise verification based on the simulation results, install measurement and control equipment and test products, collect actual operation data, and record the tracking accuracy, measurement error, response time and flight status of the target; The data analysis and optimization module is used to analyze the results of actual equipment exercises, compare them with the simulation results, adjust the measurement and control scheme based on the differences, and optimize the measurement and control equipment configuration and the flight trajectory of the test product.

8. The measurement and control scheme digital-realistic deduction and verification system according to claim 7 is characterized in that: The digital simulation module and the actual installation exercise module are connected via a data exchange interface for real-time updating and synchronization of the verification results of the simulation and actual installation exercise.

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