A method for processing flight test data of a pilot control device

Abstract

The present application provides a method for processing test flight data of a driver control device, comprising: obtaining test flight data of the driver control device, screening the test flight data to obtain valid data of the test flight data; selecting all extreme value points from the valid data; determining the number of motion cycles of the driver control device within a unit flight time according to the extreme value points, wherein the number of motion cycles is half of the number of extreme value points; determining the movement frequency within a predetermined range according to the percentage of the stroke difference between every two extreme value points and the full stroke; processing multiple groups of test flight data to calculate the total frequency of use of a single driver control device and the proportion of each stroke; and obtaining the maximum value of the highest frequency of use of the driver control device and the proportion of each stroke according to the processing results of the multiple groups of test flight data, and the maximum value multiplied by the safety factor is used as the design basis of each component of the driver control device and the life test assessment indicator.

Description

Technical Field

[0001] The present application belongs to the technical field of flight data processing, and in particular, relates to a method for processing flight test data of a pilot control device. Background Art

[0002] The main function of the pilot's control device is to convert the pilot's control actions on the joystick, pedals, etc. into electrical signals, and transmit them to the flight control computer. After being solved by the flight control computer, a signal is formed to control the deflection action of the control surface.

[0003] The pilot control device is an important device that affects the safety of the aircraft. Understanding the frequency of use of the pilot control device and its travel distribution during actual flight is an important basis for the design of the components of the pilot control device. It is also an assessment indicator for the life test of the components of the pilot control device. Summary of the invention

[0004] The technical solution provided by the present application is: a method for processing pilot control device test flight data, the method comprising:

[0005] Acquiring test flight data of the pilot's control device, and screening the test flight data to obtain valid data of the test flight data;

[0006] Select all extreme value points from the valid data;

[0007] Determine the number of motion cycles of the pilot's control device within a unit flight time according to the extreme value point, wherein the number of motion cycles is half of the number of the extreme value points;

[0008] Determine the movement frequency within a predetermined range according to the percentage of the stroke difference between each two extreme points and the total stroke, wherein the predetermined range includes: less than 5% of the total stroke, (5% to 10%) of the total stroke, (10% to 30%) of the total stroke, (30% to 50%) of the total stroke, and (50% to 100%) of the total stroke;

[0009] Processing multiple groups of test flight data to calculate the total frequency of use of a single pilot control device and the proportion of each segment of travel, wherein the total frequency of use is the sum of the movement frequencies;

[0010] Based on the processing results of multiple sets of test flight data, the maximum usage frequency of the pilot control device and the maximum value of the stroke proportion are obtained. This maximum value multiplied by the safety factor is used as the design basis of each component of the pilot control device and the life test assessment indicator.

[0011] Furthermore, the process of screening the flight test data to obtain valid data of the flight test data includes:

[0012] Taking a certain test flight data point a as a starting point, calculating the difference between the test flight data point a and the next test flight data point b, if the difference is less than a threshold, then judging the test flight data point b as an invalid data point, if the difference is greater than the threshold, then judging the test flight data point b as a valid data point;

[0013] Continue to calculate the difference between the test flight data point a and the next test flight data point c after the test flight data point b, and repeat the above steps until the validity judgment of all test flight data points is completed.

[0014] Furthermore, the threshold is determined according to the effectiveness of the driver's operating device signal, the system recognition capability and the system clearance.

[0015] Furthermore, the extreme points are peak values ​​and valley values ​​in the valid data.

[0016] The pilot control device test flight data processing method provided in the present application can be used as the design basis and life test assessment index of each component of the pilot control device of the same type of aircraft, so that the design and life assessment of each component of the pilot control device are closer to the actual use of the aircraft, and the design of the pilot control device can be further optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solution provided by the present application, the following is a brief introduction to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present application.

[0018] Figure 1 This is a flow chart of the pilot operating device test flight data processing method of the present application.

[0019] Figure 2 This is a schematic diagram for selecting effective points and extreme points in the method of this application.

[0020] Figure 3 This is a schematic diagram of the travel ratio in the method of this application. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the implementation of this application clearer, the technical solutions in the embodiments of this application will be described in more detail below in conjunction with the drawings in the embodiments of this application.

[0022] like Figure 1 As shown, the present application provides a method for processing pilot control device test flight data, the method specifically comprising:

[0023] S1. Selection of valid data

[0024] First, obtain the test flight data of the pilot's control device. For a single test flight data, first eliminate noise interference, remove points that are not consciously controlled by the pilot, and retain valid data points. Figure 2 As shown, first calculate the difference between the initial data point a and the next data point b, that is, |y a -y b | is compared with the threshold △, if |y a -y b |<threshold△, then data point b is an invalid data point. a -y b |>threshold △, then data point b is a valid data point, and the difference between the initial data point a and the third data point c is calculated, that is, |y a -y c |, and repeat the above judgment process.

[0025] Among them, the threshold △ should comprehensively consider the effectiveness of the control signal, system recognition capability, system clearance, etc.

[0026] S2. Selection of extreme points

[0027] Select all extreme points in all valid data, which are peaks and troughs, for example Figure 1 Points d, e, f, etc.

[0028] S3. Frequency Statistics

[0029] Determine the number of pilot control device movement cycles per flight hour (in times / hour) based on the above valid data points, and the result is half of the number of extreme value points. Figure 2 Here a~e is a movement cycle, which contains 2 extreme points, that is, the number of movement cycles is 2 times / hour.

[0030] S4. Travel proportion statistics

[0031] Calculate the percentage of the travel difference between each two extreme points to the full travel, such as The calculation results are counted within a certain range to obtain the exercise frequency.

[0032] like Figure 3 As shown, the above certain range can be less than 5% Y 全行程 、(5%~10%)Y 全行程 、(10%~30%)Y 全行程 、(30%~50%)Y 全行程 and (50%~100%)Y 全行程 When the movement frequency is n times / flight hour, it can be obtained through statistics that less than 5% Y full stroke is n 1 times / flight hour, (5%~10%)Y 全行程n 2 times / flight hour, (10%~30%)Y 全行程 n 3 times / flight hour, (30%~50%)Y 全行程 n 4 times / flight hour, (50%~100%)Y 全行程 n 5 times / flight hours, and finally calculate the proportion of each segment of the journey

[0033] S5. Multiple groups of data statistics

[0034] Collect data from multiple test flights of different flight test subjects, and calculate the total frequency of use of the pilot's control device (n times / flight hour) and the proportion of each segment of the trip.

[0035] S6. Statistical analysis

[0036] According to the statistical results, the highest frequency of use of the driver's operating device can be obtained as n max Second-rate

[0037] / The data of large proportion of flight hours and high-travel strokes can be multiplied by a certain safety factor as the design basis of each component of the pilot control device and the life test assessment indicator.

[0038] Table 1 Flight test data statistics

[0039]

[0040] For example, in the three sets of test flight data statistics shown in Table 1, the data is selected according to the most stringent assessment method, the movement frequency should be selected as 6850 times / flight hour, the proportion of 50% to 100% of the total journey should be selected as 1.05%, the proportion of 30% to 50% of the total journey should be selected as 11.95%, the proportion of 10% to 30% of the total journey should be selected as 38.80%, the proportion of 5% to 10% of the total journey should be selected as 20.74%, and the proportion less than 5% of the total journey is the margin. When calculating the life of each component of the pilot control device, it can be determined by the above data.

[0041] The pilot control device test flight data processing method provided in the present application can be used as the design basis and life test assessment index of each component of the pilot control device of the same type of aircraft, so that the design and life assessment of each component of the pilot control device are closer to the actual use of the aircraft, and the design of the pilot control device can be further optimized.

[0042] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for processing pilot control device flight test data, characterized in that: The method comprises: Acquiring test flight data of the pilot's control device, and screening the test flight data to obtain valid data of the test flight data; Select all extreme value points from the valid data; Determine the number of motion cycles of the pilot's control device within a unit flight time according to the extreme value point, wherein the number of motion cycles is half of the number of the extreme value points; Determine the movement frequency within a predetermined range according to the percentage of the stroke difference between each two extreme points and the total stroke, wherein the predetermined range includes: less than 5% of the total stroke, (5% to 10%) of the total stroke, (10% to 30%) of the total stroke, (30% to 50%) of the total stroke, and (50% to 100%) of the total stroke; Processing multiple groups of test flight data to calculate the total frequency of use of a single pilot control device and the proportion of each segment of travel, wherein the total frequency of use is the sum of the movement frequencies; Based on the processing results of multiple sets of test flight data, the maximum usage frequency of the pilot control device and the maximum value of the stroke proportion are obtained. This maximum value multiplied by the safety factor is used as the design basis of each component of the pilot control device and the life test assessment indicator.

2. The method for processing pilot control device flight test data according to claim 1, characterized in that: The process of screening the flight test data to obtain valid data of the flight test data includes: Taking a certain test flight data point a as a starting point, calculating the difference between the test flight data point a and the next test flight data point b, if the difference is less than a threshold, then judging the test flight data point b as an invalid data point, if the difference is greater than the threshold, then judging the test flight data point b as a valid data point; Continue to calculate the difference between the test flight data point a and the next test flight data point c after the test flight data point b, and repeat the above steps until the validity judgment of all test flight data points is completed.

3. The method for processing pilot control device flight test data as claimed in claim 2, characterized in that: The threshold is determined based on the effectiveness of the driver's operating device signal, the system recognition capability and the system clearance.

4. The method for processing pilot control device flight test data according to claim 1, characterized in that: The extreme points are peak values ​​and valley values ​​in the valid data.

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