CN-122022220-A - Dual-machine situation evaluation and target allocation method

CN122022220ACN 122022220 ACN122022220 ACN 122022220ACN-122022220-A

Abstract

The invention discloses a double-machine situation assessment and target allocation method, which is characterized in that weight optimization is carried out by adopting a PSO algorithm through angle evaluation function and distance evaluation function calculation, situation assessment is accurately carried out, tactical decision is optimized through analysis of a double-machine situation assessment matrix, and target allocation is more reasonably carried out. The method is used for solving the problems of situation assessment and target allocation in the process of over-the-horizon double-machine formation air countermeasure, and the key steps are to make situation assessment functions and target allocation.

Inventors

GONG YAOWEN
LIU HUAWEI
HAN XUDONG
CHEN KE
HUANG YEMAO

Assignees

上海今日信息科技有限公司

Dates

Publication Date: 20260512
Application Date: 20250818

Claims (9)

1. A double-machine situation evaluation and target allocation method is characterized by comprising the following specific steps: s1, a single machine operational situation evaluation model, wherein angle situation evaluation factors need to comprehensively consider the relation between AA and ATA and radar detection angles of double machines, the maximum off-axis emission angle of a missile and the maximum emission angle of an escapable area of the missile, and simultaneously need to consider the threat of the enemy machine to the me machine and the threat degree of the me machine to the enemy machine, For the threat degree of the our aircraft to the enemy aircraft, The distance situation decision factor is established by simultaneously considering the attack distance of the radar and the weapon for threat degree of the enemy plane to the me plane; s2, optimizing situation assessment weights using particle algorithm (PSO) And The PSO algorithm situation assessment weight optimization is carried out, the population is initialized by carrying out weighted summation on an angle assessment function and a distance assessment function, the fitness value of each particle is assessed and compared with a historical optimal position pbest, for each particle, the fitness value of each particle is compared with a global best position gbest, the speed and the position of the particle are updated, the historical optimal position of the particle and the global optimal position of the population are updated, and whether an end condition is reached is judged; And S3, distributing double-machine collaborative combat targets, namely respectively calculating situation evaluation results for the self machine and the enemy machine, dividing the double-machine roles into attack machines according to different advantages of the target situation, selecting a proper target mode, distributing baits or attack roles according to the element values of the JA column after completing the selection of the attack targets, wherein the baits IB are more threatened by the JA column, and defensive maneuver is needed to eliminate situation disadvantages.
2. The method for evaluating double-machine situation and distributing targets according to claim 1, wherein in S1, an evaluation function is constructed by considering both the situation of angle and distance, the favorable attack condition of the machine to the targets is realized, in the distance evaluation function, the distance situation function is directly connected with radar detection and attack areas, the relation between the maximum off-axis emission angle of the missile and the maximum emission angle of the non-escapable area of the missile is established, and meanwhile, the threat of the machine to the machine and the threat degree of the machine to the machine are required to be considered, so that the angle situation decision factors of the machine and the machine are established as follows: Wherein, the For the threat degree of the our aircraft to the enemy aircraft, Is the threat level of enemy to me. The overall angular advantage is as follows: 。
3. the method for evaluating double machine situation and distributing targets according to claim 1, wherein S1 calculates missile attack area 、 And When the plane is in the off-axis emission angle of the enemy plane, if the distance between the plane and the plane is relatively short, an attack condition is easily formed by the enemy, but the plane needs to be actively close to the enemy plane when the plane is covered by a missile attack area, so that a distance situation decision factor is established by considering the attack distance of the radar and the weapon at the same time, and the following formula is adopted: 。
4. The method for evaluating double machine situation and distributing targets according to claim 1, wherein an angle and distance evaluation function is established in S1, and situation evaluation results S are obtained according to the evaluation function: 。
5. The method for dual-machine situation assessment and target allocation according to claim 1, wherein the step S2 uses a PSO particle algorithm to optimize situation assessment weights And Representing the angle evaluation function and the distance evaluation function weights respectively, And The sum is equal to 1, and the speed and position of the particles at different moments are adjusted according to the following formula: wherein: as the weight of the inertia is given, And For the acceleration constant, rand () is a random number between [0,1], vmax and vmin are the maximum and minimum speed limits of the particle.
6. The method for evaluating double machine situation and distributing targets according to claim 1, wherein in S2, the angle evaluation function and the distance evaluation function are used for weighted summation to obtain the situation evaluation result of over-the-horizon air combat: 。
7. The method for evaluating and distributing double machine situation according to claim 1, wherein the double machine formation tactics selection and target distribution in S3 is characterized in that the double machine roles are divided into an attack machine (figher, marked as IF) and a decoy machine (Bait, marked as IB), the decoy machine is acted by a member with lower situation dominance, the decoy machine needs to eliminate own situation disadvantaged by proper maneuver and plays a role in attracting target fire, and the attack machine needs to finish the attack occupation of the tactics target by maneuver decision, and calculates situation evaluation results for the I machine and the enemy machine respectively, and the formula for constructing a scoring matrix is as follows: 。
8. The method for evaluating and distributing double machine situation according to claim 1, wherein the selecting mode of the targets in the step S3 is divided into two types, the first type is to select the target with the largest advantage of the relative situation of formation, the advantage of two pairs to one is formed by eliminating the target as soon as possible, the second type is to select the target with the largest threat to the formation members currently, and the survival rate of the formation members is ensured by eliminating the target, so that the method can be regarded as a defensive war; In a first target selection mode, selecting a target with the biggest relative situation advantage, and forming two-to-one advantages after eliminating the target as soon as possible, wherein the selected target index JA is the column where the maximum value of the elements in the matrix S is located, namely: ; The second target selection mode, selecting the target which threatens the formation member most currently, and ensuring the survival rate of the formation member by eliminating the target, can be regarded as a defensive tactics selection. The target index JA selected at this time should be the column in which the minimum value of the element in the matrix S is located, that is: 。
9. The method for evaluating and distributing double machine situations and targets according to claim 1, wherein S3 further comprises distributing baits or attack roles according to the element value of the JA column after completing the selection of the attack targets, the distribution method is as follows: 。

Description

Dual-machine situation evaluation and target allocation method Technical Field The invention belongs to the technical field of double-machine situation assessment and target distribution, and particularly relates to a double-machine situation assessment and target distribution method. Background Situation evaluation and target allocation are key links of air tactics decision, situation advantages and disadvantages of a target machine and an own machine are accurately evaluated in the field of double-machine air combat, and a more reasonable tactics is adopted, so that the situation can be taken in advance in the fight process, and the winning of the air combat can be achieved. The problem of double-machine situation evaluation is generally converted into a single-machine combat situation evaluation model, so that the aim of realizing favorable attack of the machine on the target machine is fulfilled, meanwhile, the attack threat of the enemy machine is reduced, the target is distributed in a mode with the lowest loss, and the greatest advantage of overall formation is realized. The conventional situation evaluation method mainly aims at situation evaluation of one-to-one air combat situations, and common methods comprise a comprehensive situation evaluation model based on combat capability and space situation, a threat evaluation model based on a machine learning intelligent algorithm and an over-the-horizon air combat situation evaluation method based on a tactical attack area. In the aspect of comprehensive evaluation model, yang Aiwu provides air combat situation evaluation based on dynamic variable weight, mainly comprising situation evaluation functions such as an angle situation function, a speed situation function, a distance situation function and a height situation function, wherein the situation evaluation functions represent the maneuverability, the attack capacity, the detectability, the maneuvering capacity, the survivability, the voyage capacity and the electronic countermeasures capacity of combat intent, and represent the detection, the shielding, the assault, the attack, the avoidance, the interference and the escape of tactical intent. In the aspect of machine learning algorithm, the conventional machine learning method mainly comprises methods such as a neural network, a support vector machine, bayes, decision trees and the like, and Huang Keying and the like, proposes a situation assessment method based on the Bayesian network, wherein the Bayesian network is widely applied to expression of uncertainty knowledge in an expert system due to the fact that a mature theory of probability theory and graph theory is organically combined, and a simple space situation model can be abstracted into a complex Bayesian network model with a plurality of child nodes. And calculating the conditional probability product of the air combat state to obtain joint probability, wherein the joint probability of the Bayesian network can represent comprehensive description of the air combat situation. The conventional machine learning method requires sample data to train and adjust, the sample data and the model super-parameter selection have great influence on the evaluation result, if the selection is not proper, the model is not easy to converge, and is easy to sink into local optimum, and the method is usually used in combination with a genetic algorithm. In the aspect of over-the-horizon air combat situation assessment based on tactical attack areas, a missile attack area is added, the actual situation characteristics of the over-the-horizon air combat cannot be fully reflected by aiming at the traditional over-the-horizon situation assessment method, and Shi Zhenqing and the like, the over-the-horizon air combat situation assessment method based on the missile attack area is provided, and the traditional missile attack area is mainly calculated according to design parameters of the missile, so that the furthest boundary which can be achieved by the air-to-air missile under various assumption conditions can be reflected only. The actual air combat environment is very complex, and the challenge area under the ideal condition cannot reflect the combat capability of the air-to-air missiles due to the dynamics of the countermeasure process, so that the real situation characteristic of the over-the-horizon air combat cannot be reflected due to the fact that the hit rate of the launched air-to-air missiles is very low. The method is a one-to-one beyond-sight air combat situation method, has unique advantages in different aspects, but also has the problem that a double tactic is difficult to embody in a two-to-two air combat, so that the invention provides a situation evaluation and target allocation method for double machines. Disclosure of Invention In order to overcome the deficiencies of the prior art, at least one technical problem presented in the background art is solved. The technical scheme adopted by the