CN112149299B - Optimized analysis method for test flight task for data packet development of flight simulator - Google Patents
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Abstract
The invention discloses an optimization analysis method for a test flight task for data packet development of a flight simulator, which comprises the following steps: selecting a plurality of test flight content elements to be compared; comparing and analyzing the similarity of each test flight content element in the first type and the second type of test flight tasks; calculating to obtain the total similarity of the tasks so as to determine the priority degree of the optimal combination of the test flight tasks; aiming at the test flight task pair, determining a suitable combination mode of the test flight task pair according to the similarity of each test flight content element. According to the optimization analysis method for the test flight tasks for the data packet development of the flight simulator, the discovery of the combination object of the potential test flight tasks and the selection of the proper optimization combination mode of the test flight tasks can be facilitated, so that the required test flight times and test flight resources are reduced, the test flight cost is reduced, and the test flight progress is accelerated.
Description
Technical Field
The invention relates to the development work of a system of an airplane in the aviation field and the development work of a data packet of a flight simulator, and also relates to the arrangement of test flight tasks required to be carried out for the aspects, in particular to an optimized analysis method for the test flight tasks for the development of the data packet of the flight simulator.
Background
As an important component of the flight simulator data packet, the flight test data in the flight simulator data packet mainly covers the performance stability flight test data, the system characteristic flight test data and the like of the aircraft simulated by the flight simulator, and the flight test data are required to be applied to links of design, test, verification, authentication and the like of the flight simulator, are data support and foundation for modeling, verification and authentication of each system in the flight simulator, and are important input and important component content for development of the flight simulator data packet.
The test flight data of the simulated aircraft are obtained in time, volume and quality guarantee, effective input is provided for the development of the flight simulator and the development work of the data package, and the test flight data is the premise and the foundation of the high simulation precision and the passing of the identification of the flight simulator.
On the other hand, due to the influence of factors such as large test flight task amount, shortage of test flight resources, complex software and hardware configuration states of an airplane system, rapid change and the like in the development period of the airplane, the development cost control and the on-time evidence taking delivery pressure of the airplane are always large and are increasingly large, so that the limited test flight resources in various aspects such as test flight time, maintenance of the airplane, the number of test machines, meteorological conditions, airport runways, airspace and the like are more precious. This further makes it difficult to schedule a large number of test runs for the development of the flight simulator data package.
According to the current common practice, the system development test flight of the aircraft generally comprises system development and system verification test flight, wherein the system development test flight mainly provides data input for the system development of the aircraft and checks the flight quality/system functions of the aircraft, so that the whole aircraft and the system thereof are continuously perfected until the design specification requirements are met, and the system verification test flight is used for verifying the compliance of the aircraft system according to the regulation requirements. The test flight related to the data packet of the simulator provides data input for model establishment and verification of the simulator and office identification of the simulator. Thus, both system development test flights and system verification test flights differ from simulator packet development test flights in the goals of service and regulatory requirements to be followed.
There have been attempts and efforts to screen pilot data from aircraft system development pilot data that can be used for the development of flight simulator data packages. However, the practical effect of these prior attempts is limited by the low data screening rate, and therefore, the number of test flights required to acquire the required test flight data is not significantly saved, and the effect is limited.
If the test flight tasks for developing the aircraft system and the test flight tasks for developing the data package of the flight simulator can be combined in an optimized way based on proper principles to a certain extent, the required test flight times and test flight resources can be reduced, so that the test flight cost is reduced, the test flight progress is accelerated, and the method has very remarkable significance for the development work of the aircraft system and the development work of the data package of the flight simulator.
Therefore, it is desirable to provide a new method for optimizing and analyzing the test flight tasks for the development of the data packet of the flight simulator, so as to realize more optimized arrangement of the required test flight tasks at least to a certain extent, thereby being beneficial to reducing the required test flight times and test flight resources, reducing the test flight cost and accelerating the test flight progress.
Disclosure of Invention
The invention aims to overcome the defects that in the prior art, the test flight tasks are required to be executed respectively for the development of an aircraft system and the development of a data packet of a flight simulator, and the required test flight times and test flight resources cannot be obviously reduced by some existing improvement efforts, so that the required test flight resources and cost are too high, the development progress is easy to drag down, and provides a novel optimization analysis method for the test flight tasks for the development of the data packet of the flight simulator.
The invention solves the technical problems by the following technical proposal:
the invention provides an optimization analysis method for a test flight task for data packet development of a flight simulator, which is characterized by comprising the following steps:
selecting a plurality of test flight content elements to be compared aiming at a first test flight task and a second test flight task, wherein the first test flight task is associated with test flight data for developing a flight simulator data packet, and the second test flight task is associated with test flight data for developing an aircraft system;
comparing and analyzing the similarity of each test flight content element in each first test flight task and each second test flight task;
based on the similarity of the test flight content elements determined by comparison, calculating the total similarity of the test flight content elements and the second type test flight tasks according to each first type test flight task, and determining the priority of optimization combination between each first type test flight task and each second type test flight task based on the total similarity of the tasks;
and aiming at a test flight task pair comprising one first test flight task and one second test flight task, determining a suitable combination mode of the test flight task pair according to the similarity of the test flight content elements in the test flight task pair.
According to one embodiment of the present invention, the plurality of test flight content elements include test flight status point information, a test flight manipulation method, a software and hardware configuration of a tester system, and test parameters.
According to one embodiment of the invention, the optimized combination mode comprises complete combination, test flight status point combination and test flight frame sub-combination.
According to an embodiment of the present invention, the parameters included in the pilot content element are divided into an optimizable parameter and an invariable parameter, and the optimization analysis method further includes:
for the test flight task pair, before determining an applicable combination mode of the test flight task pair, searching for optimizable parameters with different parameter values in the first test flight task and the second test flight task, and performing unified processing on the parameter values of the searched optimizable parameters.
According to one embodiment of the invention, the optimizable parameters include gross weight, center of gravity position, altitude, airspeed, and some or all of the parameters included in the pilot maneuver.
According to one embodiment of the invention, the test flight status point information comprises flight status information and aircraft setting information, wherein the aircraft setting information is used for representing an operating mode or configuration mode of a component or a system contained in an aircraft.
According to one embodiment of the invention, the flight status information includes airspeed, altitude, and center of gravity of the aircraft.
According to one embodiment of the invention, the aircraft setup information includes a flap position, landing gear position, switch of yaw damping function, flight control mode.
According to an embodiment of the present invention, the optimization analysis method further includes:
and based on the calculated total similarity of the tasks, only selecting the first type of test flight tasks and the second type of test flight tasks with the total similarity of the tasks higher than a preset total similarity threshold value to form the test flight task pair.
According to an embodiment of the present invention, the optimization analysis method further includes:
and aiming at each first type of test flight task, sequencing from high to low based on the calculated total similarity of the first type of test flight tasks and each second type of test flight tasks, and only selecting the first type of test flight tasks and the second type of test flight tasks which are in front of a sequencing result to form the test flight task pair.
According to one embodiment of the present invention, determining the applicable combination of the test flight tasks includes:
and if the similarity of the test flight content elements in the test flight task pair is respectively higher than a preset sub-similarity threshold value of the test flight content elements, determining a combination mode of the test flight task pair suitable for complete combination.
According to one embodiment of the present invention, determining the applicable combination of the test flight tasks includes:
and if the similarity of the test flight content elements in the test flight task pair is higher than the sub-similarity threshold of the preset test flight content elements except the similarity of the test flight control method, determining a combination mode of the test flight task pair applicable test flight state point combination.
According to one embodiment of the present invention, determining the applicable combination of the test flight tasks includes:
and if the similarity of the test flight content elements in the test flight task pair is higher than the sub-similarity threshold value of the test flight content elements in the preset test flight content elements, determining the combination mode of the test flight task pair applicable to the frame-based combination.
On the basis of conforming to the common knowledge in the field, the above preferred conditions can be arbitrarily combined to obtain the preferred examples of the invention.
The invention has the positive progress effects that:
according to the optimization analysis method for the test flight tasks for the data packet development of the flight simulator, the comparison of the test flight contents in the two types of test flight tasks is used for determining the difference and the similarity, so that the potential test flight task combination object can be found out, an appropriate test flight task optimization combination mode is selected, the required test flight number and test flight resources can be reduced, the test flight cost is reduced, and the test flight progress is accelerated.
Drawings
Fig. 1 is a flow chart of a method for optimizing analysis of a test flight mission for flight simulator data packet development in accordance with a preferred embodiment of the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the invention, taken in conjunction with the accompanying drawings, is given by way of illustration and not limitation, and any other similar situations are intended to fall within the scope of the invention.
In the following detailed description, directional terms, such as "left", "right", "upper", "lower", "front", "rear", etc., are used with reference to the directions described in the drawings. The components of embodiments of the present invention can be positioned in a number of different orientations and the directional terminology is used for purposes of illustration and is in no way limiting.
Referring to fig. 1, a method for optimizing and analyzing a test flight mission for data packet development of a flight simulator according to a preferred embodiment of the present invention includes:
selecting a plurality of test flight content elements to be compared aiming at a first test flight task and a second test flight task, wherein the first test flight task is associated with test flight data for developing a flight simulator data packet, and the second test flight task is associated with test flight data for developing an aircraft system;
comparing and analyzing the similarity of each test flight content element in each first test flight task and each second test flight task;
based on the similarity of the test flight content elements determined by comparison, calculating the total similarity of the test flight content elements and the second type test flight tasks according to each first type test flight task, and determining the priority of optimization combination between each first type test flight task and each second type test flight task based on the total similarity of the tasks;
and aiming at a test flight task pair comprising one first test flight task and one second test flight task, determining a suitable combination mode of the test flight task pair according to the similarity of the test flight content elements in the test flight task pair.
The test flight task pair, namely a pair of test flight tasks which are respectively classified into two types, or the test flight task pair can be understood as a pair of test flight tasks which are respectively used for acquiring test flight data for the development of a data packet of a flight simulator and for acquiring test flight data for the development of an aircraft system.
The test flight content element may include the following four items: test flight state point information, a test flight control method, a software and hardware configuration of a test machine system and test parameters. The test parameters may refer to parameters included in the test flight task such as measurements required in the test flight subject, among others. While each pilot content element may include a plurality of parameters, specific examples of which are described below.
It should be understood that in the above method, the analysis elements are selected, that is, the test flight content elements to be analyzed and compared are defined, which lays a foundation for content comparison and similarity calculation of two types of test flight tasks. The analysis is performed from the aspects of software and hardware configuration, test parameters, test flight status points, test flight control methods and the like of the tester system, and the difference and the identity of two test flight tasks which are classified into two categories can be clearly compared and analyzed, for example, based on design or a predefined similarity calculation principle or a calculation method.
On this basis, the overall similarity of the two test flight tasks classified into two categories can be further calculated, and the priority of optimizing the combination can be determined accordingly, in other words, the potential combination objects which are more suitable for being combined with each other, namely, the two test flight tasks which are more suitable for being combined with each other can be found out more quickly based on the calculation result. This combination of potentially combined objects (easily combined pilot tasks) is quite beneficial because it essentially means that it is possible to combine pilot data that would otherwise be required to perform two pilot tasks to adequately acquire pilot data for the development of the flight simulator data package and pilot data for the development of the aircraft system into one pilot, or to combine most or most of the two portions of pilot data that would otherwise be required to perform two pilot tasks to adequately acquire into one pilot.
It will be appreciated that the above method may be used to first broadly compare a plurality, and even a large number, of first and second types of pilot tasks, which may result in a plurality of potentially combinable pilot tasks, which may further enable a substantial reduction in the number of pilot and pilot resources required by the combination of the plurality of pilot tasks when considered for acquiring all or most of the pilot data for flight simulator data packet development and for aircraft system development, thereby substantially reducing pilot costs and speeding up pilot progress.
Also, it is to be appreciated that the test flight tasks referred to herein may correspond, for example, to one or more test flights for the purpose of a flight department or to one or more test points.
According to some preferred embodiments of the invention, the optimized binding assay method comprises:
and based on the calculated total similarity of the tasks, only selecting the first type of test flight tasks and the second type of test flight tasks with the total similarity of the tasks higher than a preset total similarity threshold value to form the test flight task pair.
According to some alternative preferred embodiments of the invention, the optimized binding assay method comprises:
and aiming at each first type of test flight task, sequencing from high to low based on the calculated total similarity of the first type of test flight tasks and each second type of test flight tasks, and only selecting the first type of test flight tasks and the second type of test flight tasks which are in front of a sequencing result to form the test flight task pair.
According to some preferred embodiments of the present invention, the parameters included in the pilot content element are divided into optimizable parameters and non-changeable parameters, and referring to fig. 1, the optimization combination analysis method further includes:
for the test flight task pair, before determining an applicable combination mode of the test flight task pair, firstly searching optimizable parameters with different parameter values in the first test flight task and the second test flight task, and optimizing the parameter values of the searched optimizable parameters, wherein the optimization aims at enabling the parameter values of the optimizable parameters with different parameter values in the two test flight tasks to be consistent to a certain extent.
Of course, optimizing the parameter values of the optimizable parameters needs to be performed on the premise of meeting the requirements of the related clauses and standards and the purpose of the test flight task, which helps to improve the combinability of two test flight tasks which are classified into two categories.
Also, according to some preferred embodiments of the present invention, the optimizable parameters include gross weight of the aircraft, center of gravity position, altitude, airspeed, and some or all of the parameters encompassed by the pilot maneuver.
Additionally, in accordance with some preferred embodiments of the present invention, the pilot flight status point information includes flight status information and aircraft setup information, wherein the aircraft setup information is used to characterize an operational mode or configuration in which components or systems contained in the aircraft are located.
The flight status information may include, for example, airspeed, altitude, and center of gravity of the aircraft, and the aircraft setup information may include, for example, wing flap position, landing gear position, switch of yaw damping function, and flight control mode.
The aspects of how the test flight task can be determined for the applicable binding mode in the above method will be illustrated below.
According to some preferred embodiments, the optimized bond means include full bond, test flight status point bond, and test flight frame bond.
And if the similarity of the test flight content elements in the test flight task pair is respectively higher than a preset sub-similarity threshold value of the test flight content elements, determining that the test flight task pair is suitable for a completely combined combination mode. The completely combined combination mode is applied to the test flight task pairs with high similarity of all test flight content elements, and under the condition, the test flight tasks which are classified into two categories can basically obtain the test flight data which are classified into the two categories by executing one test flight.
And if the similarity of the test flight content elements in the test flight task pair is higher than the sub-similarity threshold of the preset test flight content elements except the similarity of the test flight control method, determining a combination mode of the test flight task pair applicable test flight state point combination. The combination mode of the test flight state point combination can be applied to the combination of two test flight tasks which are obviously different only in the test flight control method, under the condition that the test flight data of the two test flight tasks which are originally classified can be obtained basically through the execution of one test flight and the different required test flight control methods respectively executed by a pilot under the basically same flight state and aircraft setting.
And if the similarity of the test flight content elements in the test flight task pair is higher than the sub-similarity threshold value of the test flight content elements in the preset test flight content elements, determining the combination mode of the test flight task pair applicable to the frame-based combination. Under the condition of the combination mode of the frame combination, the software and hardware configuration and the test parameters of the test machine system are basically consistent, so that the required test flight data can still be obtained through the execution of one test flight, and only under the condition, the requirements of the two types of test flight tasks are sequentially completed according to different flight states, different aircraft settings and different control methods related to the two types of test flight tasks in the front and back stages of one test flight respectively, so that the test flight data of the two types of test flight tasks which are originally classified into the two types of test flight tasks are sequentially obtained.
The application of the three types of optimization combination modes can help to reduce test flight times and test flight costs.
One application example of the above-described preferred embodiment of the present invention will be exemplified below in order to better understand the principle and gist of the present invention.
In this application example, the first class of test flight tasks (i.e., test flight tasks for data packet development of a flight simulator) corresponds to a "roll response (rate)" subject whose test point matrix content (i.e., parameters included in test flight status points and parameter values thereof) are as follows:
| test point matrix element | Parameter value |
| Height: | cruising altitude (25000 ft-39800 ft) |
| Airspeed: | 250 sections |
| Weight: | medium weight (60255 Kg-73645 Kg) |
| Center of gravity position: | normal gravity center (18.0% -38.0%) |
| The clamping position of the flap slat: | F0 |
| landing gear position: | is put on |
| Yaw damping function: | disconnecting |
| Flight control mode: | directly and directly |
Secondly, the test flight manipulation method of the subject of the roll response (rate) is as follows:
1. establishing a straight horizontal flight state and keeping the straight horizontal flight state for 10 seconds;
2. quick right side compression lever (30% maximum travel) and hold until aircraft right wing tips down 30 °;
3. the sidebar then snaps back for 15 seconds.
Thirdly, the software and hardware configuration requirements of the testing machine system for defining the testing point are as follows: the software and hardware configuration of the aircraft air data system and the main flight control system reaches a full-function state.
Finally, the test parameters of the test point are determined to be the calibrated airspeed, air pressure height, climbing rate, pitch angle, roll angle, normal overload, pitch angle rate, attack angle, horizontal stabilizer deflection angle, elevator deflection angle, aileron deflection angle, spoiler deflection angle, steering wheel longitudinal displacement, steering wheel lateral displacement, pedal displacement, throttle lever position, engine state parameters, wind speed, wind direction and the like.
In the application example, multi-dimensional comparison analysis is carried out on each test flight task developed by an aircraft system and four test flight content elements of the task of the data development kit of the flight simulator one by one to find out a target test point suitable for combination.
For example, the "roll response (rate)" test flight task in the flight simulator data packet test flight task is compared with the "rudder response" test flight task in the development test flight of the aircraft system as follows.
Firstly, comparing the contents of the test point matrixes of two subjects, determining that only one parameter of airspeed differs by 10 knots, and the other parameters are completely consistent.
Secondly, the pilot flight manipulation method of the pilot flight task of the comparison "roll response (rate)" and the pilot flight task of the comparison "rudder response" are different from the following table:
again, the hardware and software configuration requirements of the tester system comparing the "roll response (rate)" test flight tasks with the "rudder response" test flight tasks are different from the following table:
finally, the test parameter requirements of the test flight task of the "roll response (rate)" and the test flight task of the "rudder response" are compared. The test parameter requirements of the test flight task of the rudder response are as follows: horizontal stabilizer deflection angle, elevator deflection angle, rudder deflection angle, flap deflection angle, side lever longitudinal position, side lever transverse position, foot pedal position (rudder), flap handle position, speed bump handle position, pitch trim indication, rudder trim indication, overload, attitude angle, attitude angular velocity, barometric altitude, corrected airspeed, mach number, angle of attack, sideslip angle, gross aircraft weight, landing gear uplock, landing gear down lock, flight control mode, etc. The test parameters of the two are basically consistent.
In this example of application, it can be seen that in one embodiment of the invention:
first, the main differences between the test flight mission "roll response (rate)" of the data development kit for the flight simulator and the test flight mission "rudder response" of the system development for the aircraft are: the pilot flight control method is different and the airspeed is different.
Second, it is evaluated whether the discrepancy parameters in the test flight mission "roll response (rate)" for the data packet development of the flight simulator can be optimized. According to the flight simulator flight test data validity evaluation criterion, the airspeed change of 10 sections has no influence on the flight test purpose or the flight test standard of the flight test task, so that the airspeed of the flight test task can be changed from 250 sections to 260 sections.
Finally, after modification, the pilot flight content of the subject of the "roll response (rate)" is different from the pilot flight content of the subject of the "rudder response" only in pilot flight manipulation method.
As previously mentioned, in this application example, the manner in which the pilot points are combined may be selected. When the pilot flight is implemented, the configuration of the main flight control system of the aircraft can reach a full-function state, and the parameters such as calibrated airspeed, barometric altitude, climbing rate, pitch angle, roll angle, normal overload, pitch angle rate, attack angle, horizontal stabilizer deflection angle, elevator deflection angle, aileron deflection angle, spoiler deflection, steering wheel longitudinal displacement, steering wheel lateral displacement, pedal displacement, accelerator lever position, engine state parameters, wind speed, wind direction and the like can be measured.
Thus, the test flight subject 'roll response (rate)' of the data packet development for the flight simulator, which is originally required to perform test flights separately, and the test flight subject 'rudder response' of the system development for the aircraft can be combined into a single test flight in a test flight state point combination manner.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the principles and spirit of the invention, but such changes and modifications fall within the scope of the invention.
Claims (9)
1. The optimization combination analysis method for the test flight tasks of the development of the aircraft system and the data packet of the flight simulator is characterized by comprising the following steps:
selecting a plurality of test flight content elements to be compared aiming at a first test flight task and a second test flight task, wherein the first test flight task is associated with test flight data for developing a flight simulator data packet, the second test flight task is associated with test flight data for developing an aircraft system, and the plurality of test flight content elements comprise a test flight control method, a software and hardware configuration of the tester system and test parameters;
comparing and analyzing the similarity of each test flight content element in each first test flight task and each second test flight task;
based on the similarity of the test flight content elements determined by comparison, calculating the total similarity of the test flight content elements and the second type test flight tasks according to each first type test flight task, and determining the priority of optimization combination between each first type test flight task and each second type test flight task based on the total similarity of the tasks;
aiming at a test flight task pair comprising one first type of test flight task and one second type of test flight task, determining a suitable combination mode of the test flight task pair according to the similarity of the test flight content elements in the test flight task pair, wherein determining the suitable combination mode of the test flight task pair comprises:
if the similarity of the test flight content elements in the test flight task pair is respectively higher than a preset sub-similarity threshold value of the test flight content elements, determining a combination mode of the test flight task pair suitable for complete combination;
if the similarity of the test flight content elements in the test flight task pair is higher than a preset sub-similarity threshold of the test flight content elements except the similarity of the test flight control method, determining a combination mode of the test flight task pair applicable test flight state point combination;
and if the similarity of the test flight content elements in the test flight task pair is higher than the sub-similarity threshold value of the test flight content elements in the preset test flight content elements, determining the combination mode of the test flight task pair applicable to test flight frame secondary combination.
2. The optimization bonding analysis method according to claim 1, wherein the plurality of test flight content elements further include test flight status point information.
3. The optimization bonding analysis method according to claim 2, wherein parameters included in the pilot content element are divided into an optimizable parameter and an invariable parameter, the optimization bonding analysis method further comprising:
for the test flight task pair, before determining an applicable combination mode of the test flight task pair, searching for optimizable parameters with different parameter values in the first test flight task and the second test flight task, and performing unified processing on the parameter values of the searched optimizable parameters.
4. The optimization bonding analysis method according to claim 3, wherein the optimizable parameters include total weight, center of gravity position, altitude, airspeed, and some or all of parameters included in the pilot manipulation method.
5. The optimization bonding analysis method according to claim 2, wherein the test flight status point information comprises flight status information and aircraft setting information, wherein the aircraft setting information is used for representing an operating mode or a configuration mode of a component or a system contained in an aircraft.
6. The optimization bonding analysis method according to claim 5, wherein the flight status information includes airspeed, altitude, and barycentric position of the aircraft.
7. The optimization bonding analysis method according to claim 5, wherein the aircraft setup information includes flap position, landing gear position, switch of yaw damping function, flight control mode.
8. The optimized binding assay of claim 1, wherein the optimized binding assay further comprises:
and based on the calculated total similarity of the tasks, only selecting the first type of test flight tasks and the second type of test flight tasks with the total similarity of the tasks higher than a preset total similarity threshold value to form the test flight task pair.
9. The optimized binding assay of claim 1, wherein the optimized binding assay further comprises:
and aiming at each first type of test flight task, sequencing from high to low based on the calculated total similarity of the first type of test flight tasks and each second type of test flight tasks, and only selecting the first type of test flight tasks and the second type of test flight tasks which are in front of a sequencing result to form the test flight task pair.
Priority Applications (1)
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