Method for selecting weak environment information active sensitive device for patrolling ammunition fuze

Abstract

The invention discloses a method for selecting a weak environment information active sensitive device of a patrolling ammunition fuze, which comprises the following steps of: selecting a function, calculating scores, and selecting an active sensitive device with the highest score to detect weak environment information; the selection principle comprises the measurement precision, the installation performance, the frequency response range, the detection sensitivity and the linearity of the active sensitive device and the measurement precision under the change of natural environmental factors. According to the method, the patrolling ammunition fuze can select the active sensitive device with the optimal performance to sensitize the environment characteristics according to the weak environment information available in the outer trajectory flight, so that fuze researchers do not need to select the sensitive device depending on experience, trial and error are avoided, the fuze research and development period is shortened, and the process cost is reduced; and the fuze can be reliably sensitive to weak environment information.

Description

Technical Field

[0001] The present invention belongs to the technical field of information detection and sensor application, and in particular relates to a method for selecting an active sensitive device for weak environment information of a cruise missile fuze. Background Art

[0002] The environments experienced by fuzes in new ammunition and loitering weapons are increasingly characterized by weaker environmental signatures with increasingly smaller amplitudes and longer durations. Passive sensing devices are unable to accurately identify and utilize these environmental signatures. To address this issue, researchers both domestically and internationally have proposed moving beyond the stresses on fuze components as a source of redundant safety environmental information. Instead, they are leveraging advanced sensor technology to detect ballistic environmental information, then employing micro-actuation to arm the mechanism. This significantly expands the range of environmental information available to the fuze. Advances in MEMS technology have enabled the integration of mechanical structures and electronic circuits within a microscale. By identifying and interpreting sensor signals, the onboard computer converts environmental information, such as the specific launch motion and projectile posture, into electrical signals for fuze control. This information then controls the actuation of the MEMS actuator, resulting in precise control of the fuze's state. However, there is no reliable method for selecting active sensing devices. While the same environment can be detected by different sensors, the reliability of the information detected by each sensor varies. The choice of sensor directly impacts the ability of the fuze to reliably arm. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for selecting active sensitive devices for weak environmental information of cruise missile fuzes. After determining the cruise missile fuze release environment, the method can scientifically calculate the scores of all available sensitive devices according to the fuze environmental information selection principle and select the most reliable active sensitive device.

[0004] The technical solutions for achieving the purpose of the present invention are:

[0005] A method for selecting an active sensitive device for weak environmental information in a cruise missile fuze is provided. The method calculates a score using the following selection function S and selects the active sensitive device with the highest score to detect weak environmental information:

[0006]

[0007] in represents the measurement accuracy of the active sensitive device in the electromagnetic interference environment, X1 represents the measurement accuracy in the environment without electromagnetic interference, T is the anti-interference margin factor, where X i is the specific score of the active sensitive device corresponding to the i-th selection principle, W iis the weight value of the i-th selection principle, i = 2, 3, 4, 5, 6, corresponding to the installation performance of the active sensing device, frequency response range, detection sensitivity, linearity and measurement accuracy under changes in natural environmental factors, respectively.

[0008] Compared with the prior art, the present invention has the following significant advantages:

[0009] According to this method, the cruise missile fuze can select the active sensitive device with the best performance to sense the environmental characteristics based on the weak environmental information available during exterior ballistic flight, so that fuze researchers no longer have to rely on experience to select sensitive devices, avoid trial and error, shorten the fuze development cycle and reduce process costs, and ensure that the fuze can reliably sense weak environmental information. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 This is a flow chart for selecting active sensitive devices for weak environmental information.

[0011] Figure 2 This is a relationship diagram between available active sensing devices for dive acceleration and their selection principles.

[0012] Figure 3 It is the relative importance judgment matrix between the selection principles.

[0013] Figure 4 It is an active sensing device for the dive acceleration in the second level principle X i The assignment process above. DETAILED DESCRIPTION

[0014] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0015] Combined with attachment Figure 1 Taking the weak environmental information of the cruise missile's dive acceleration as an example, the present invention provides a method for selecting an active sensitive device for the weak environmental information of a cruise missile fuze, comprising the following steps:

[0016] Step 1: Regarding the weak environmental information of the dive acceleration in the cruise missile's exterior trajectory, the cruise missile dives and accelerates from a high altitude toward a ground target. The dive process is completed within seconds. During the flight, it will be affected by local interception weapons / electromagnetic interference, and factors such as the air density and humidity of the natural environment will also affect the detection of sensitive devices.

[0017] Step 1.1: For the pitch acceleration information, the following sensitive devices are selected: 1) MEMS accelerometer; 2) fiber optic accelerometer; 3) Global Positioning System (GNSS).

[0018] Step 1.2: Considering the short diving process, high flight speed of the missile, and external interference, the selection principles for the active sensitive device are as follows: 1) the device has strong anti-interference capability in complex electromagnetic environments; 2) the active sensitive device has a simple composition and is easy to install on the missile; 3) the detection frequency response characteristics are good; 4) the detection sensitivity is high; 5) it has good linearity; and 6) it is less affected by natural environmental factors.

[0019] Step 2: When the active sensitive device is subject to electromagnetic interference, the output result will seriously deviate from the true value. Figure 2 The anti-interference principle shown is a first-level principle among the six principles and has a decisive influence. The others are second-level principles. A matrix of the relative importance of each second-level principle is constructed.

[0020] Step 2.1. Use Santy's 1-9 scaling method to construct a relative importance judgment matrix. To avoid overly complex numerical evaluation and reduce the complexity of judgment, simplify the construction process of the judgment matrix and use a tiered method to quantify relative importance through three levels. If there is no particularly obvious difference in importance between two items, they are simplified to be equally important, with a value of 1, relatively slightly important with a value of 3, and obviously important with a value of 5.

[0021] Step 2.2: When detecting sensitive weak environmental information, the linearity of the active sensor device reflects the accuracy of its detection results. Its low susceptibility to natural environmental factors determines its ability to function properly in diverse terrains, altitudes, and climates. High detection sensitivity and good frequency response indicate a longer detection range and higher resolution, allowing for a wider signal bandwidth. Simple system components and ease of missile installation indicate a device's high suitability for loitering munitions, reducing the additional installation costs associated with sensitive weak environmental information. The relative importance of each selection principle can be quantified through industry expert judgment and correlation.

[0022] Step 2.3, as attached Figure 3 Construct a relative importance judgment matrix between the selected principles. In this method, principle 2 is set to be slightly more important than principles 3 and 4, and principles 3 and 4 are equally important; principle 5 is obviously more important than principles 3 and 4, and slightly more important than principle 2; principle 6 is obviously more important than principles 3 and 4, slightly more important than principle 2, and equally important than principle 5. Figure 3 As shown in the table on the lower right, the judgment matrix A is constructed based on the data in the table:

[0023]

[0024] Step 3: After normalizing the judgment matrix, the weight value of each principle can be obtained, which represents the relative importance of each principle in the selection function.

[0025] Step 3.1. See the appendix Figure 4 , first calculate the sum of each column in matrix A to obtain U j . Assume that matrix A has m rows and n columns;

[0026]

[0027] Normalize each element. Divide each element A ij (the element in the i-th row and j-th column) by the sum U of its corresponding column j to obtain the normalized matrix A * ;

[0028]

[0029] The normalized matrix A * is as follows:

[0030]

[0031] Step 3.2. Calculate the average value of the i-th row of the normalized matrix A * as the weight W corresponding to each selection principle i ;

[0032] ]>

[0033] Finally, the calculated weight values corresponding to Principles 2, 3, 4, 5, and 6 are W2 = 0.1548, W3 = 0.0646, W4 = 0.0646, W5 = 0.3578, and W6 = 0.3578 respectively.

[0034] Step 4. When constructing the selection function of the active sensitive device, the first and second-level principles respectively form two parts of the selection function.

[0035] Step 4.1. Considering the decisive influence of the first-level principle on the selection of the entire active sensitive device, set the anti-interference margin factor T, which represents the maximum error limit that the detection result of the active sensitive device can withstand; establish the first part S1 of the selection function;

[0036]

[0037] In the formula represents the measurement accuracy of the active sensitive device under the electromagnetic interference environment, X1 represents the measurement accuracy under the non-electromagnetic interference environment, and the value range of T is: <T≤1 (usually take 0.9, which can be adjusted according to actual needs).

[0038] The setting idea of the function S1: When the measurement accuracy of the active sensitive device is lower than the required range, the calculation result of S1 is negative, and a negative selection function indicates that the active sensitive device does not meet the selection requirements.

[0039] Step 4.2: Based on step 4.1, establish the second part S2 of the selection function;

[0040]

[0041] Where X i is the specific score of the active sensitive device corresponding to each selection principle, is the normalized value, X i Value range: 0 <X i ≤1, the score is based on the measured performance parameters of the active sensing device.

[0042] Combine S1 and S2 functions to create the selection function S:

[0043]

[0044] Step 5: For the acceleration information of the dive process, attach Figure 2 The active sensing device X shown in i The assignment process is attached. Figure 4 ; To facilitate the assignment of X2, it is divided into three levels: installed on the missile, the score is 1; not installed but with a simple structure and small size for easy installation, the score is 0.8; not installed and with a complex structure and large size, the applicability is considered to be low, the score is 0.5; the size is too large and exceeds the reserved space in the missile, it is considered unusable, and the score is 0 (the specific size requirements are set according to the actual reserved space in the missile).

[0045] The scoring calculation process for principles 3, 4, and 5 is as follows: First, determine the frequency response range, detection sensitivity, and linearity parameters of each active sensing device according to the measurement manual. For the frequency response range of principle 3, select the device with the largest frequency range among all active sensing devices, and record the maximum response range as Assuming that there are k active sensitive devices that can detect environmental characteristics for the same environmental information, the score calculation formula for all active sensitive devices corresponding to principle 3 is:

[0046]

[0047] In the formula is the frequency response range of the remaining t-th active sensitive device, divided by The score of the active sensitive device corresponding to principle 3 is obtained. Similarly, the scores of k active sensitive devices corresponding to principles 4 and 5 can be calculated. and

[0048] The scoring formula for Principle 6 is as follows:

[0049]

[0050] In the formula is the score of the tth active sensitive device corresponding to principle 6, is the measurement accuracy of the tth active sensitive device under the change of natural environmental factors (the environmental factors are the environment that may cause the fuze to fail in actual combat), It is the measurement accuracy of the device in normal natural environment.

[0051] Step 6. Substitute the assigned value of the selected function variable into formula (1.8) to calculate the score corresponding to each active sensitive device. Select the active sensitive device for the weak environmental information of the fuze based on the score. The higher the score, the higher the reliability of the device. If the result of the selected function calculation is a negative number, it means that the device is unreliable.

[0052] Example 1

[0053] For the cruise missile fuze's dive acceleration information, the acceleration signal update frequency is required to be 100Hz. The active sensing devices to be selected are MEMS accelerometers (model: TDK ICM-42688-P), fiber optic accelerometers (model: Tongwei Sensing-OSC7520), and Global Positioning System-GPS (model: CUAV-NEO 3Pro). The reserved space inside the ammunition in principle 2 is determined to be 42cm. 3 The natural environmental factors in Principle 6 are temperature, humidity, air density, and altitude. Following the above steps, the scores for the three active sensing devices corresponding to Principles 2-6 are calculated as: [1, 1, 1, 1, 1], [1, 1, 1, 0.982, 1], and [1, 0.25, 0.0125, 0.952, 1]. In an electromagnetic interference environment, acceleration information detected by the GNSS system is susceptible to interference. The anti-interference margin is less than T, resulting in a negative result for the selected function calculation. According to relevant research literature, the anti-interference margin of MEMS accelerometers in electromagnetic interference environments is 0.956, and that of fiber optic accelerometers is 1. Substituting these variables into formula (1.8), we obtain the values ​​S = 0.056 for the MEMS accelerometer, S = 0.099 for the fiber optic accelerometer, and S = -0.348 for the GNSS system. According to the calculation results, the fiber optic accelerometer should be selected as the fuze sensitivity method for the weak environmental information of the dive acceleration that occurs during the exterior ballistic flight of the cruise missile.

[0054] The present invention provides a method for selecting an active sensitive device for weak environmental information of a cruise missile fuze. A judgment matrix is ​​established based on five selection principles for active sensitive devices, thereby calculating the relative importance of each principle. A selection function for the active sensitive device is constructed based on the importance calculation results. A score is calculated according to the measurement performance parameters of the sensitive device, and the active sensitive device with the highest score is selected to detect weak environmental information.

Claims

1. A method for selecting an active sensitive device for weak environmental information of a cruise missile fuze, characterized in that: The score is calculated by selecting the function S below, and the active sensitive device with the highest score is selected to detect weak environmental information: in represents the measurement accuracy of the active sensitive device in the electromagnetic interference environment, X1 represents the measurement accuracy in the environment without electromagnetic interference, T is the anti-interference margin factor, where X i is the specific score of the active sensitive device corresponding to the i-th selection principle, W i is the weight value of the i-th selection principle, i = 2, 3, 4, 5, 6, corresponding to the installation performance of the active sensing device, frequency response range, detection sensitivity, linearity and measurement accuracy under changes in natural environmental factors, respectively.

2. The method for selecting an active sensitive device for weak environmental information of a cruise missile fuze according to claim 1 is characterized in that: The scoring calculation process for the 3rd, 4th and 5th selection principles is as follows: First, determine the frequency response range, detection sensitivity, and linearity of each active sensing device according to its measurement manual; According to the selection principle 3, frequency response range, select the device with the largest frequency range among all active sensitive devices, and record the maximum response range as There are k active sensitive devices to be selected that can detect the same environmental characteristics. The score calculation formula for all active sensitive devices to be selected corresponding to selection principle 3 is: In the formula is the frequency response range of the remaining t-th active sensitive device. Similarly, the scores of k active sensitive devices corresponding to selection principle 4 and selection principle 5 are calculated. and 3. The method for selecting an active sensitive device for weak environmental information of a cruise missile fuze according to claim 1 is characterized in that: The scoring formula for selecting Principle 6 is as follows: In the formula is the score of the tth active sensitive device corresponding to the selection principle 6, is the measurement accuracy of the tth active sensitive device under the change of natural environmental factors, It is the measurement accuracy of the active sensitive device in normal natural environment.

4. The method for selecting an active sensitive device for weak environmental information of a cruise missile fuze according to claim 1 is characterized in that: The scoring process for the second selection principle is as follows: if it has been installed on the missile, the score is 1; if the size is too large and exceeds the reserved space in the missile, it is considered unusable and the score is 0; if it has not been installed but can be installed, different scores are assigned between 0 and 1 according to the ease of installation.

5. The method for selecting an active sensitive device for weak environmental information of a cruise missile fuze according to claim 1 is characterized in that: The weight value W of the i-th selection principle i Calculated by the following formula: in is the normalized matrix A * The elements of the i-th row, the normalized matrix A * By dividing each element of the judgment matrix A by the sum of its column U j get: Among them A ij is the element in the i-th row and j-th column of the judgment matrix A. The judgment matrix A has m rows and n columns, which are sorted according to the relative importance of each selection principle.

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