Flight test demand analysis method oriented to fundamental research

Abstract

The invention discloses a fundamental research-oriented flight test demand analysis method, which comprises the following steps of: classifying test tasks according to research contents; according to the types of the test tasks, test demand point carding is carried out, a test verification demand point list is established, and the test verification demand point list is subjected to tagging processing; according to the labeled test verification demand point list, integration and classification are carried out according to label contents, and a test demand matrix is formed; based on the test demand matrix, contribution degree evaluation is carried out, and a demand quantitative evaluation result is obtained; performing test design according to a demand quantitative evaluation result; and according to the test design result, selecting a flight test platform, determining test times and test loads, determining a test target range and a test trajectory, and forming a flight test scheme. According to the method, the requirement analysis can be ensured to be in place, and the test result effectively supports the project research work.

Description

Technical Field

[0001] The present invention belongs to the technical field of aircraft test design and evaluation, and in particular relates to a flight test demand analysis method oriented to basic research. Background Art

[0002] The basic flight test focuses on key technical issues of single or system realization, with the focus on obtaining real flight status data as the core, providing a benchmark for the correction and improvement of theoretical and ground test results. Different from system-level flight tests, the scale and cost of the test are greatly reduced, the development cycle is relatively short, and the purpose of the test is not to verify products and indicators, but to measure and evaluate certain phenomena, mechanisms or mechanisms. It is a complete means to promote further in-depth basic research.

[0003] For basic flight tests of new aircraft, usually before conducting systematic tests, flight tests with clear scientific objectives will be used to verify and improve existing theories, models, methods, materials and structures, and form a series of pioneering and systematic flight test measurement plans. Generally, multiple flight tests will be carried out in a systematic manner based on small flight test platforms, and test plans will be specially designed for power, control, structure, trajectory, etc., and a key parameter database will be established to provide an important basis for ground and theoretical verification in related fields.

[0004] At present, research flight tests are mainly carried out by integrating test payloads into mature model platforms or launch vehicle platforms. They are generally restricted by the scale of the launch platform, system solutions, etc., and are costly, long, have low flexibility, and difficulty in applying new measurement technologies. A single flight test only focuses on the technical verification of the payload product itself. There are large differences in the status of test payloads and measurement schemes between different launches, which leads to great limitations in the data obtained between single flight tests and cannot effectively support the research of basic issues such as mechanism models and key phenomena.

[0005] At present, systematic basic research projects generally need to go deep into solving basic problems and common bottlenecks, and also need to systematically evaluate whether the indicators can support the improvement of model capabilities. Flight tests need to be listed as one of the means of systematic evaluation of basic research results. How to further form the main content of flight tests around the needs of comprehensive integrated verification, indicator evaluation, basic scientific issues and key technology research, and application of results transformation, and design flight test plans based on this. How to ensure that limited-scale flight tests can meet the needs of multiple methods and technical research, and ensure that the test plan is feasible and effective, requires the formation of method support analysis and evaluation. Summary of the invention

[0006] The technology of the present invention solves the problem: overcomes the shortcomings of the existing technology and provides a flight test demand analysis method for basic research, which can ensure that the demand analysis is in place and the test results effectively support project research work.

[0007] In order to solve the above technical problems, the present invention discloses a flight test demand analysis method for basic research, comprising:

[0008] Complete the classification of experimental tasks according to the research content;

[0009] According to the test task categories, sort out the test requirements, establish a test verification requirement list, and label the test verification requirement list;

[0010] According to the labeled test verification requirement list, integrate and classify according to the label content to form a test requirement matrix;

[0011] Based on the test demand matrix, carry out contribution evaluation and obtain the quantitative evaluation results of demand;

[0012] Conduct test design based on the quantitative evaluation results of demand;

[0013] Based on the test design results, the flight test platform is selected, the number of test launches and test load are clarified, the test range and test trajectory are determined, and a flight test plan is formed.

[0014] In the above-mentioned flight test demand analysis method for basic research, the test tasks are divided into three categories: research and verification of basic mechanisms and scientific problems, application verification of advanced concepts and methods, and identification and research of spacecraft-ground consistency problems.

[0015] In the above-mentioned flight test requirements analysis method for basic research, tags are divided into three categories: measurement scheme, test object loading scheme and test conditions.

[0016] In the above-mentioned flight test requirement analysis method for basic research, the horizontal coordinates of the test requirement matrix are divided according to the flight mission profile of the test requirement, including: ground transportation phase, ignition phase, active phase I, active phase II, attitude control phase, unpowered gliding phase, and reentry phase; the vertical coordinates of the test requirement matrix are the test object loading plan.

[0017] In the above-mentioned flight test demand analysis method for basic research, contribution evaluation is carried out based on the test demand matrix to obtain quantitative evaluation results of demand, including:

[0018] Merge each demand point in the test demand matrix;

[0019] Establish the evaluation criteria for the contribution of experimental requirements, conduct graded evaluation on the contribution of experimental requirements to project research, and obtain the quantitative evaluation result Q of the requirements.

[0020] In the above-mentioned flight test demand analysis method for basic research, each demand point in the test demand matrix is ​​merged, including: first, processing according to the requirements with clear intersections in the horizontal and vertical coordinates, merging those with consistent measurement schemes, and retaining those with inconsistent measurement schemes; further, adjustments are made according to the loading scheme of the test object, and those belonging to the same system or the same loading section are merged.

[0021] In the above-mentioned flight test demand analysis method for basic research, the test demand contribution evaluation criteria are established to grade the contribution of the test demand to the project research and obtain the demand quantitative evaluation result Q, including:

[0022] The evaluation is conducted according to the matching of benchmark research objectives, the degree of support for basic research, the effect of application of results transformation, and the experimental cost cycle and risk. The evaluation method adopts the comparison method with the standard value.

[0023] The evaluation index for matching the research objectives is Q T , divided into three levels: Better, Average, and Poorer, abbreviated as t, A, and P; among them, those that meet or exceed the research objectives are set to t, with a score of 3; those that can meet the main research objectives are set to A, with a score of 2; those that cannot achieve the research objectives are set to P, with a score of 1;

[0024] The evaluation index of basic research support is Q F , divided into three levels: Strong, Moderate, and Weak, abbreviated as S, d, and W; among them, those that can have great value to basic research are set as S, with a score of 3; those that have certain value to basic research are set as M, with a score of 2; those that have limited or insufficient contribution to basic research are set as W, with a score of 1;

[0025] The evaluation index of the application effect of the results transformation is Q A , divided into three levels: Effective, Basic, and Ineffective, abbreviated as E, B, and I. Among them, those that make an important contribution to the improvement of equipment performance after application are set as E, with a score of 3; those that can partially improve equipment performance after application are set as B, with a score of 2; those that have no obvious benefits after application are set as I, with a score of 1;

[0026] The evaluation index of test cost cycle and risk is Q D, divided into three levels: High, Medium, and Low, abbreviated as H, M, and L; among them, if the development cost of the relevant product is too high, or too many new technologies are used, the flight conditions are too difficult to achieve, or the test window is too small, it is set to H, and the score is 1; if the product development cost is moderate, the development cycle is controllable, the test window is clear, the test platform is mature, and the measurement means can meet the requirements after development, it is set to M, and the score is 2; if the test cycle is short and the cost is controllable, the platform is mature, there are many test windows, and the existing measurement means can meet the test requirements, it is set to L, and the score is 3;

[0027] Then, the demand quantitative evaluation result Q is:

[0028] Q=Q T 1 / 4 ×Q F 1 / 4 ×Q A 1 / 4 ×Q D 1 / 4

[0029] Among them, Q≥2.4 is considered as Class I demand, 2.4>Q≥2.2 is considered as Class II demand, 2.2>Q≥2 is considered as general demand, and others are considered invalid demands.

[0030] In the above-mentioned flight test demand analysis method for basic research, when conducting test design based on the results of quantitative evaluation of demand, focus is placed on selecting Class I demand and partially selecting Class II demand to carry out test design, and refine the test objectives, test subjects, and test indicators.

[0031] The present invention has the following advantages:

[0032] (1) The present invention discloses a flight test demand analysis method for basic research, with the purpose of supporting basic research. The content of the analysis focuses on basic mechanisms, consistency between the earth and the sky, and advanced concepts, which matches the research objectives of systematic basic research projects.

[0033] (2) The present invention discloses a flight test requirement analysis method for basic research, and proposes a test requirement matrix approach to decompose complex test requirements into general labels, which is conducive to the integrated design of the test.

[0034] (3) The present invention discloses a flight test demand analysis method for basic research. Through the hierarchical evaluation of demand contribution, a large number of test demand points can be graded and ranked by objective evaluation, which is conducive to the design of various test plans that adapt to different scales and meet the capacity requirements of different test platforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1It is a flow chart of a flight test requirement analysis method for basic research in an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments disclosed in the present invention will be further described in detail below with reference to the accompanying drawings.

[0037] The present invention combines the actual experience of the project flight test design and implementation process, and proposes a method for test demand sorting, test demand evaluation, and test scheme combination design for multi-dimensional and multi-level project research content, which can ensure that the demand analysis is in place and the test results effectively support the project research work.

[0038] Reference Figure 1 In this embodiment, the flight test requirements analysis method for basic research includes:

[0039] Step 1: Complete the classification of experimental tasks according to the research content.

[0040] In this embodiment, the tasks and objectives of the flight test can be divided according to the main research content of the project. Specifically, the test tasks can be divided into the following three categories: research and verification of basic mechanisms and scientific problems, application verification of advanced concepts and methods, and identification and research of spacecraft-ground consistency problems.

[0041] Step 2: According to the test task category, sort out the test requirements, establish a list of test verification requirements, and label the list of test verification requirements.

[0042] In this embodiment, the tags can be mainly divided into three categories: measurement scheme, test object loading scheme and test conditions.

[0043] Step 3: Based on the labeled test verification requirement list, integrate and classify them according to the label content to form a test requirement matrix.

[0044] In this embodiment, the horizontal coordinates of the test demand matrix are divided according to the flight mission profile of the test requirements, including: ground transportation phase, ignition phase, active phase I (low altitude and low speed), active phase II (high altitude), attitude control phase, unpowered gliding phase, and reentry phase; the vertical coordinates of the test demand matrix are the test object loading plan.

[0045] Step 4: Conduct contribution evaluation based on the test demand matrix to obtain quantitative demand evaluation results.

[0046] In this embodiment, the specific implementation process of step 4 is as follows:

[0047] 41) Merge the demand points in the test demand matrix: First, process the demand points with clear intersections in the horizontal and vertical coordinates, merge those with consistent (or basically consistent) measurement schemes, and retain those with inconsistent (largely different) measurement schemes; further, make adjustments based on the loading scheme of the test object, and merge those belonging to the same system or loading the same section.

[0048] 42) Establish the test demand contribution evaluation criteria, conduct graded evaluation on the contribution of test demand to project research, and obtain the quantitative evaluation result Q of demand. Specifically:

[0049] The evaluation is conducted according to four categories: matching with research objectives, degree of basic research support, effect of transformation and application of results, and experimental cost cycle and risk. The evaluation method is comparison with standard values.

[0050] The evaluation index for matching the research objectives is Q T , divided into three levels: Better, Average, and Poorer, abbreviated as t, A, and P. Among them, those that meet or exceed the research objectives are set as t, with a score of 3; those that can meet the main research objectives are set as A, with a score of 2; those that cannot achieve the research objectives are set as P, with a score of 1.

[0051] The evaluation index of basic research support is Q F , divided into three levels: Strong, Moderate, and Weak, abbreviated as S, D, and W. Among them, those that can have great value to basic research are set as S, with a score of 3; those that have certain value to basic research are set as M, with a score of 2; those that have limited or insufficient contribution to basic research are set as W, with a score of 1.

[0052] The evaluation index of the application effect of the results transformation is Q A , divided into three levels: Effective, Basic, and Ineffective, abbreviated as E, B, and I. Among them, those that make an important contribution to the improvement of equipment performance after application are set as E, with a score of 3; those that can partially improve equipment performance after application are set as B, with a score of 2; those that have no obvious benefits after application are set as I, with a score of 1.

[0053] The evaluation index of test cost cycle and risk is Q D, divided into three levels: High, Medium, and Low, abbreviated as H, M, and L. Among them, if the development cost of the relevant product is too high, or too many new technologies are used, the flight conditions are too difficult to achieve, or the test window is too small, it is set to H, with a score of 1; if the product development cost is moderate, the development cycle is controllable, the test window is clear, the test platform is mature, and the measurement means can meet the requirements after development, it is set to M, with a score of 2; if the test cycle is short and the cost is controllable, the platform is mature, there are many test windows, and the existing measurement means can meet the test requirements, it is set to L, with a score of 3.

[0054] Then, the demand quantitative evaluation result Q is:

[0055] Q=Q T 1 / 4 ×Q F 1 / 4 ×Q A 1 / 4 ×Q D 1 / 4

[0056] Among them, Q≥2.4 is considered as Class I demand, 2.4>Q≥2.2 is considered as Class II demand, 2.2>Q≥2 is considered as general demand, and others are considered invalid demands.

[0057] Step 5: Conduct experimental design based on the quantitative evaluation results of the needs.

[0058] In this embodiment, when conducting the test design based on the quantitative evaluation results of the needs, generally, the focus is on selecting Class I needs and partially selecting Class II needs to carry out the test design, and the test objectives, test subjects, and test indicators are refined.

[0059] Step 6: Based on the test design results, select the flight test platform, clarify the number of test launches and test loads, determine the test range and test trajectory, and form a flight test plan.

[0060] Although the present invention has been disclosed as above in the form of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art may make possible changes and modifications to the technical solution of the present invention by using the methods and technical contents disclosed above without departing from the spirit and scope of the present invention. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the protection scope of the technical solution of the present invention.

[0061] The contents not described in detail in the specification of the present invention belong to the common knowledge of the professionals in this field.

Claims

1. A flight test requirements analysis method for basic research, characterized in that: include: Complete the classification of experimental tasks according to the research content; According to the test task categories, sort out the test requirements, establish a list of test verification requirements, and label the list of test verification requirements; According to the labeled test verification requirement list, integrate and classify according to the label content to form a test requirement matrix; Based on the test demand matrix, carry out contribution evaluation and obtain the quantitative evaluation results of demand; Conduct test design based on the quantitative evaluation results of demand; Based on the test design results, the flight test platform is selected, the number of test launches and test load are clarified, the test range and test trajectory are determined, and a flight test plan is formed.

2. The flight test requirements analysis method for basic research according to claim 1, characterized in that: The test tasks are divided into three categories: research and verification of basic mechanisms and scientific problems, application verification of advanced concepts and methods, and identification and research of spacecraft's ground-to-space consistency problems.

3. The flight test requirements analysis method for basic research according to claim 1, characterized in that: The labels are divided into three categories: measurement scheme, test object loading scheme, and test conditions.

4. The flight test requirements analysis method for basic research according to claim 1, characterized in that: The horizontal coordinates of the test requirement matrix are divided according to the flight mission profile of the test requirements, including: ground transportation phase, ignition phase, active phase I, active phase II, attitude control phase, unpowered gliding phase, and reentry phase; the vertical coordinates of the test requirement matrix are the test object loading plan.

5. The flight test requirements analysis method for basic research according to claim 4, characterized in that: Based on the test demand matrix, the contribution evaluation is carried out to obtain the quantitative evaluation results of the demand, including: Merge each demand point in the test demand matrix; Establish the evaluation criteria for the contribution of experimental requirements, conduct graded evaluation on the contribution of experimental requirements to project research, and obtain the quantitative evaluation result Q of the requirements.

6. The method for analyzing flight test requirements for basic research according to claim 5, characterized in that: The demand points in the test demand matrix are merged, including: first, the demands with clear intersections in the horizontal and vertical coordinates are processed, those with consistent measurement schemes are merged, and those with inconsistent measurement schemes are retained; further, adjustments are made according to the loading scheme of the test object, and those belonging to the same system or loading the same section are merged.

7. The flight test requirements analysis method for basic research according to claim 5, characterized in that: Establish the test demand contribution evaluation criteria, conduct graded evaluation on the contribution of test demand to project research, and obtain the demand quantitative evaluation result Q, including: The evaluation is conducted according to the matching of benchmark research objectives, the degree of support for basic research, the effect of application of results transformation, and the experimental cost cycle and risk. The evaluation method adopts the comparison method with the standard value. The evaluation index for matching the research objectives is Q T , divided into three levels: Better, Average, and Poorer, abbreviated as t, A, and P; among them, those that meet or exceed the research objectives are set to t, with a score of 3; those that can meet the main research objectives are set to A, with a score of 2; those that cannot achieve the research objectives are set to P, with a score of 1; The evaluation index of basic research support is Q F , divided into three levels: Strong, Moderate, and Weak, abbreviated as S, d, and W; among them, those that can have great value to basic research are set as S, with a score of 3; those that have certain value to basic research are set as M, with a score of 2; those that have limited or insufficient contribution to basic research are set as W, with a score of 1; The evaluation index of the application effect of the results transformation is Q A , divided into three levels: Effective, Basic, and Ineffective, abbreviated as E, B, and I. Among them, those that make an important contribution to the improvement of equipment performance after application are set as E, with a score of 3; those that can partially improve equipment performance after application are set as B, with a score of 2; those that have no obvious benefits after application are set as I, with a score of 1; The evaluation index of test cost cycle and risk is Q D , divided into three levels: High, Medium, and Low, abbreviated as H, M, and L; among them, if the development cost of the relevant product is too high, or too many new technologies are used, the flight conditions are too difficult to achieve, or the test window is too small, it is set to H, and the score is 1; if the product development cost is moderate, the development cycle is controllable, the test window is clear, the test platform is mature, and the measurement means can meet the requirements after development, it is set to M, and the score is 2; if the test cycle is short and the cost is controllable, the platform is mature, there are many test windows, and the existing measurement means can meet the test requirements, it is set to L, and the score is 3; Then, the demand quantitative evaluation result Q is: Q=Q T 1 / 4 ×Q F 1 / 4 ×Q A 1 / 4 ×Q D 1 / 4 Among them, Q≥2.4 is considered as Class I demand, 2.4>Q≥2.2 is considered as Class II demand, 2.2>Q≥2 is considered as general demand, and others are considered invalid demands.

8. The method for analyzing flight test requirements for basic research according to claim 7, characterized in that: When conducting experimental design based on the results of quantitative evaluation of needs, focus on selecting Class I needs and partially select Class II needs to carry out experimental design, and refine the experimental objectives, experimental subjects, and experimental indicators.

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