CN-122021001-A - Method for optimizing target hitting scheme of explosion-proof bomb to airplane based on improved genetic algorithm

CN122021001ACN 122021001 ACN122021001 ACN 122021001ACN-122021001-A

Abstract

The invention relates to an optimization method of a target hitting scheme of an explosion-proof bomb to an airplane based on an improved genetic algorithm, belongs to the technical and application fields of damage evaluation, and is used for optimizing various parameters of the explosion-proof bomb when hitting the target of the airplane, and improving the damage efficiency of the explosion-proof bomb to the airplane. Based on the vulnerability characteristics of the static explosive force field of the explosive-killing bomb and the body target, the damage probability of each part of the target is calculated according to the intersection condition of fragments and the target in the dynamic explosive force field under the complex explosive-target intersection condition (azimuth angle, intersection angle and intersection speed), the integral damage probability of the aircraft is calculated based on the damage probability of each part, and the rationality and reliability of the hit parameter optimization result are improved.

Inventors

XU YUXIN
LI XIN
GAO SHUPENG

Assignees

北京理工大学

Dates

Publication Date: 20260512
Application Date: 20260120

Claims (9)

1. The method for optimizing the target hitting scheme of the explosive-killing bomb to the airplane based on the improved genetic algorithm is characterized by comprising the following steps: s1, establishing a three-dimensional equivalent calculation model of an airplane target; S2, acquiring static explosion power field information of the explosion-proof bomb through a simulation experiment, wherein the power field information comprises position, speed and quality information of all fragments; S3, acquiring coordinates of a frying point; S4, converting the explosion-killing bullet static explosion power field information obtained in the step S2 into explosion point coordinates in the step S3, and obtaining a dynamic explosion power field according to the converted explosion-killing bullet static explosion power field information and the initial speed of the explosion-killing bullet; S5, calculating the damage effect of the dynamic explosive force field in the step S4 on the three-dimensional equivalent calculation model of the aircraft target established in the step S1 according to a fragment trace method; and S6, optimizing the ballistic parameters of the tail end of the ammunition by improving a genetic algorithm according to the damage effect obtained in the step S5, and obtaining a striking scheme of the explosive-killing bomb on the aircraft target.
2. The method for optimizing an aircraft target strike scheme by using explosive cartridges based on improved genetic algorithm according to claim 1, wherein the method comprises the following steps: in the step S1, the method for establishing the three-dimensional equivalent calculation model of the aircraft target includes: Firstly, establishing a three-dimensional model of an airplane target, numbering parts of the airplane target, giving weight, and obtaining a damage criterion of the parts of the airplane target according to a damage effect test to obtain a three-dimensional equivalent calculation model of the airplane target.
3. The method for optimizing an aircraft target strike scheme by using explosive cartridges based on improved genetic algorithm according to claim 1, wherein the method comprises the following steps: in the step S3, the coordinates of the explosion point are obtained according to the coordinates of the aiming point, the CEP and the fuze parameters.
4. The method for optimizing an aircraft target strike scheme by using explosive cartridges based on improved genetic algorithm according to claim 1, wherein the method comprises the following steps: in the step S6, the optimization method is as follows: s61, setting key parameters of an improved genetic algorithm; the key parameters comprise initial population size, iteration termination condition, mutation rate, crossover rate and pheromone; s62, uniformly sampling according to the step length according to the parameter range set by the user to generate an initial population, wherein each individual in the population represents a group of striking parameters, and the parameters set by the user comprise azimuth angle, intersection angle and intersection speed; S63, calculating the damage probability of each part of the aircraft target according to each individual of the initial population obtained in the S62, calculating the overall damage probability of the aircraft target based on the part damage probability and the weight, and taking the overall damage probability of the aircraft target as an individual fitness value; s64, sorting individuals in the population according to the fitness value in S63, reserving elite individuals with the highest fitness value, selecting a wheel disc for other individuals, wherein the probability that the individuals with the higher fitness value are selected is higher, the reserved and selected individuals increase the pheromone concentration, and the probability that the individuals are reserved in the next iteration are increased; S65, judging whether the current state meets the preset iteration termination condition, if so, outputting a result, otherwise, continuing to perform the step S66, namely performing the cross and mutation operation: S66, performing crossing and mutation operation on the two parent individuals selected in the S64 to generate new child individuals, wherein the individual crossing mutation probability is determined by the mutation rate set in the S61; S67, forming a new generation population by new individuals generated after mutation and intersection, wherein the population size is kept unchanged, and repeating the operations of fitness value calculation, selection, intersection and mutation until an iteration termination condition is reached; s68, outputting the ammunition parameters of the individual with the highest global fitness value and the damage probability of the corresponding airplane target, and simultaneously outputting a damage result data table and a damage effect visualization file.
5. The method for optimizing an aircraft target strike scheme by using explosive cartridges based on improved genetic algorithm according to claim 1, wherein the method comprises the following steps: in the step S5, the number of broken pieces is used as a damage effect criterion, if the number of broken pieces on the component is greater than or equal to a set threshold, the broken pieces are determined to be damaged, i.e. the damage probability is 1; Otherwise, the ratio of the number of broken pieces on each component to the total number of broken pieces required for the component to be destroyed is taken as the destruction probability of the component.
6. The method for optimizing the target hitting scheme of an aircraft by using the explosive bomb based on the improved genetic algorithm according to claim 5, wherein the method comprises the following steps of: And judging whether the broken piece breaks down or not by comparing the broken piece speed with the ballistic limit speed of the equivalent target of the component, if the broken piece is larger than the ballistic limit speed, judging that the broken piece breaks down, otherwise, judging that the broken piece does not break down.
7. The method for optimizing the target hitting scheme of an aircraft by using the explosive bomb based on the improved genetic algorithm as claimed in claim 4, wherein the method comprises the following steps of: in the step S62, the individual chromosome corresponds to the parameters of the explosive-killing bomb, and real number coding is adopted; The initial population is generated randomly and comprises N individuals.
8. The method for optimizing the target hitting scheme of an aircraft by using the explosive bomb based on the improved genetic algorithm as claimed in claim 4, wherein the method comprises the following steps of: in the step S63, the fitness value of the individual is defined as the probability of destruction of the target.
9. The method for optimizing an aircraft target strike scheme by using explosive cartridges based on improved genetic algorithm according to claim 1, wherein the method comprises the following steps: In the step S67, the iteration termination condition is that the maximum iteration number or the fitness value is equal to or greater than a threshold value.

Description

Method for optimizing target hitting scheme of explosion-proof bomb to airplane based on improved genetic algorithm Technical Field The invention relates to an optimization method of a target hitting scheme of an explosion-proof bomb to an airplane based on an improved genetic algorithm, belongs to the technical and application fields of damage evaluation, and is used for optimizing various parameters of the explosion-proof bomb when hitting the target of the airplane, and improving the damage efficiency of the explosion-proof bomb to the airplane. Background The problem of planning the trajectory parameters of the tail end of the body target is a nonlinear multi-peak function optimization problem, and the method is very difficult to obtain a global optimal solution. The traditional hit parameter optimization method is often based on experience or a simple mathematical model, and is difficult to fully consider the intersection condition of a complex structural body target and a complex bullet mesh, and the traditional method finishes calculation in a short time, so that the number of fragments of the hit target after the explosion of the warhead is small, and the maximum damage efficiency and the optimal damage effect are difficult to achieve. There are the following disadvantages: when the hitting parameters of the body target are optimized, the vulnerability model of the body target is often simplified into a two-dimensional plane, the vulnerability model has a larger difference with the vulnerability information of the actual target, and the hitting parameter optimization result cannot reach the expected effect. When the hitting parameters of the body targets are optimized, the target vulnerability of different parts of the body targets is not considered, the target vulnerability is unified, the gap between the hitting parameters and actual combat conditions is large, and the accuracy of the optimized result is insufficient. When the impact parameters of the body targets are optimized, the interaction effect of the explosive-killing warfarin force field and the target model in the three-dimensional space is not considered, so that the optimization result and the actual effect have larger difference. Disclosure of Invention The invention aims to provide an optimization method for the strike scheme of an explosion-proof bomb to an aircraft target based on an improved genetic algorithm, which is characterized in that on the basis of fully considering the real dynamic explosion force field of the bomb and the vulnerability characteristics of a body target, the strike parameters of the explosion-proof bomb are rapidly and accurately planned by establishing a reasonable calculation model and an optimization algorithm, the damage efficiency of the explosion-proof bomb is improved, and the high-efficiency damage to the aircraft target is realized. In order to achieve the above purpose, the present invention provides the following technical solutions: An optimization method of a target hitting scheme of an explosion bomb to an airplane based on an improved genetic algorithm comprises the following steps: s1, establishing a three-dimensional equivalent calculation model of an airplane target; S2, acquiring static explosion power field information of the explosion-proof bomb through a simulation experiment, wherein the power field information comprises position, speed and quality information of all fragments; S3, acquiring coordinates of a frying point; S4, converting the explosion-killing bullet static explosion power field information obtained in the step S2 into explosion point coordinates in the step S3, and obtaining a dynamic explosion power field according to the converted explosion-killing bullet static explosion power field information and the initial speed of the explosion-killing bullet; S5, calculating the damage effect of the dynamic explosive force field in the step S4 on the three-dimensional equivalent calculation model of the aircraft target established in the step S1 according to a fragment trace method; and S6, optimizing the ballistic parameters of the tail end of the ammunition by improving a genetic algorithm according to the damage effect obtained in the step S5, and obtaining a striking scheme of the explosive-killing bomb on the aircraft target. In the step S1, the method for establishing the three-dimensional equivalent calculation model of the aircraft target includes: Firstly, establishing a three-dimensional model of an airplane target, numbering parts of the airplane target, giving weight, and obtaining a damage criterion of the parts of the airplane target according to a damage effect test to obtain a three-dimensional equivalent calculation model of the airplane target; in the step S3, the coordinates of the explosion point are obtained according to the coordinates of the aiming point, CEP and fuze parameters; in the step S6, the optimization method is as follows: s61, setting key pa