CN108256207A - Firing density performance prediction method - Google Patents

Firing density performance prediction method Download PDF

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Publication number
CN108256207A
CN108256207A CN201810034230.8A CN201810034230A CN108256207A CN 108256207 A CN108256207 A CN 108256207A CN 201810034230 A CN201810034230 A CN 201810034230A CN 108256207 A CN108256207 A CN 108256207A
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CN
China
Prior art keywords
muzzle
mean square
square deviation
firing
angle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810034230.8A
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Chinese (zh)
Inventor
毛保全
王之千
赵俊严
白向华
杨雨迎
徐振辉
韩小平
吴东亚
郑博文
朱锐
李俊
冯帅
李程
张天意
辛学敏
李晓刚
兰图
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Academy of Armored Forces of PLA
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Academy of Armored Forces of PLA
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Publication date
Application filed by Academy of Armored Forces of PLA filed Critical Academy of Armored Forces of PLA
Priority to CN201810034230.8A priority Critical patent/CN108256207A/en
Publication of CN108256207A publication Critical patent/CN108256207A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41WEAPONS
    • F41AFUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
    • F41A31/00Testing arrangements
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F42AMMUNITION; BLASTING
    • F42BEXPLOSIVE CHARGES, e.g. FOR BLASTING, FIREWORKS, AMMUNITION
    • F42B35/00Testing or checking of ammunition

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Aiming, Guidance, Guns With A Light Source, Armor, Camouflage, And Targets (AREA)

Abstract

The present invention relates to a kind of firing density performance prediction methods, are related to shooting performance electric powder prediction.The present invention emulates the muzzle initial disturbance obtained and outer trajectory simulation models coupling using muzzle vibration characteristics, carry out the shot strategy of multiple formula running fire, the pop-off distribution of comparatively dense is obtained, closely vertical target dispersion is obtained using range method, obtains closeness index.

Description

Firing density performance prediction method
Technical field
The present invention relates to shooting performance electric powder predictions, and in particular to a kind of firing density performance prediction method.
Background technology
Fighting effect is emphasized in modern war, emphasizes weapon to the killing to strike target and damage capability.Weapon kills target Premise be to hit target, the probability hit target depend on shooting precision.The fire accuracy of weapon system includes shooting Closeness and the accuracy of fire.Firing density refers to dense degree of the point of impact relative to center of impact, the accuracy of fire It is the degree of closeness of center of impact relative boresight point.The accuracy of fire is systematic error, can be reduced by system amendment or It eliminates.And firing density is random error, it is difficult to control and elimination.Therefore to solve weapon-shooting precision problem, emphasis should It is placed in firing density problem.
Invention content
(1) technical problems to be solved
The technical problem to be solved by the present invention is to:How firing density performance prediction is realized.
(2) technical solution
In order to solve the above technical problem, the present invention provides a kind of firing density performance prediction method, including following Step:
The shot strategy of multiple formula running fire is carried out, if being E apart from mean square deviationx, height mean square deviation is Ey, direction mean square deviation is Ez, disregard the influence of wind, obtained by outer trajectory theory:
Ey=Ex·tg|θc| (2)
Height mean square deviation, direction mean square deviation are closely vertical target dispersion, are estimated with formula below:
In formula:
X, θ0, θc--- it is range, firing angle and the angle of fall successively;
Qc, Qv0, Qθ0--- it is ballistic coefficient C, initial velocity v successively0With firing angle θ0To the correction factor of range;
σc,σz--- it is ballistic coefficient, initial velocity, firing angle, direction deflection angle and bias current coefficient successively Mean square deviation;
Wherein:
I is total bullet number to play sequence, n, and L is muzzle to the distance of reel cage trunnion, yiFor muzzle height vibration displacement, ziFor rifle Mouth direction vibration displacement;
Dispersion closeness E under muzzle disturbing influence is calculatedy、Ez
Remote Control Weapon Station firing density depends on muzzle disturbance and ammunition design error, and bullet is obtained by machine gun design manual Dispersion closeness E under the influence of medicine design errorZ ammunitions、EY ammunitions, then Remote Control Weapon Station firing density be:
Preferably, Qc, Qv0, Qθ0According to trajectory parameter C, v0、θ0Exterior ballistic table is looked into be obtained.
Preferably, the machine gun is 12.7mm machine guns.
(3) advantageous effect
The present invention emulates the muzzle initial disturbance obtained and outer trajectory simulation models coupling using muzzle vibration characteristics, The shot strategy of multiple formula running fire is carried out, the pop-off distribution of comparatively dense is obtained, closely vertical target dispersion is obtained using range method, Obtain closeness index.
Specific embodiment
To make the purpose of the present invention, content and advantage clearer, with reference to embodiment, to the specific reality of the present invention The mode of applying is described in further detail.
A kind of firing density performance prediction method proposed by the present invention, includes the following steps:
The shot strategy of multiple formula running fire is carried out, if being E apart from mean square deviationx, height mean square deviation is Ey, direction mean square deviation is Ez, when the influence for disregarding wind, from outer trajectory theory:
Ey=Ex·tg|θc| (2)
Height mean square deviation, direction mean square deviation are closely vertical target dispersion (within 200m), can be estimated with formula below:
In formula:
X, θ0, θc--- it is range, firing angle and the angle of fall successively;
Qc,--- it is ballistic coefficient C, initial velocity v successively0With firing angle θ0It, can be according to bullet to the correction factor of range Road parameter C, v0、θ0Exterior ballistic table is looked into be obtained;
σc,σz--- it is ballistic coefficient, initial velocity, firing angle, direction deflection angle and bias current coefficient successively Mean square deviation is named as ballistic dispersion parameter, referred to as spreads parameter.
As long as σ is obtainedc,And σzSize, the distribution closeness in three directions can be obtained.
The quality of weapon-shooting closeness is usually characterized with deviation among the intermediate deviation of height and direction.Height is intermediate Height jumps angle when deviation depends primarily on shooting, and deviation, which depends primarily on, among direction laterally jumps angle, and muzzle is random during shooting Movement forms the distribution for jumping angle, it is considered that, muzzle random motion is the main reason for influencing firing density.
Below with formula (4), (5) approximate calculation weapon station closely vertical target dispersion.
Wherein:
I is total bullet number to play sequence, n, and L is muzzle to the distance of reel cage trunnion, yiFor muzzle height vibration displacement, ziFor rifle Mouth direction vibration displacement;
Dispersion closeness E under muzzle disturbing influence can be calculated by data above and formulay、Ez
Remote Control Weapon Station firing density depends on muzzle disturbance and ammunition design error, by 12.7mm machine gun design manuals Dispersion closeness E under the influence of ammunition design error can be obtainedZ ammunitions(height mean square deviation), EY ammunitions(direction mean square deviation), then be remotely controlled force Device station firing density is:
In the present embodiment, simulation calculation obtain the firing density of Remote Control Weapon Station module allocation plan for 0.37 × 0.45mil。
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformation can also be made, these are improved and deformation Also it should be regarded as protection scope of the present invention.

Claims (3)

1. a kind of firing density performance prediction method, which is characterized in that include the following steps:
The shot strategy of multiple formula running fire is carried out, if being E apart from mean square deviationx, height mean square deviation is Ey, direction mean square deviation is Ez, no The influence of wind is counted, is obtained by outer trajectory theory:
Ey=Ex·tg|θc| (2)
Height mean square deviation, direction mean square deviation are closely vertical target dispersion, are estimated with formula below:
In formula:
X, θ0, θc--- it is range, firing angle and the angle of fall successively;
Qc,--- it is ballistic coefficient C, initial velocity v successively0With firing angle θ0To the correction factor of range;
σc,σz--- it is the square of ballistic coefficient, initial velocity, firing angle, direction deflection angle and bias current coefficient successively Difference;
Wherein:
I is total bullet number to play sequence, n, and L is muzzle to the distance of reel cage trunnion, yiFor muzzle height vibration displacement, ziFor muzzle side To vibration displacement;
Dispersion closeness E under muzzle disturbing influence is calculatedy、Ez
Remote Control Weapon Station firing density depends on muzzle disturbance and ammunition design error, obtains ammunition by machine gun design manual and sets Dispersion closeness E under the influence of meter errorZ ammunitions、EY ammunitions, then Remote Control Weapon Station firing density be:
2. the method as described in claim 1, which is characterized in that Qc,According to trajectory parameter C, v0、θ0Look into exterior ballistic table It is obtained.
3. method as claimed in claim 1 or 2, which is characterized in that the machine gun is 12.7mm machine guns.
CN201810034230.8A 2018-01-15 2018-01-15 Firing density performance prediction method Pending CN108256207A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810034230.8A CN108256207A (en) 2018-01-15 2018-01-15 Firing density performance prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810034230.8A CN108256207A (en) 2018-01-15 2018-01-15 Firing density performance prediction method

Publications (1)

Publication Number Publication Date
CN108256207A true CN108256207A (en) 2018-07-06

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CN (1) CN108256207A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717253A (en) * 2019-09-20 2020-01-21 中国人民解放军63961部队 Ballistic consistency testing method for two types of ammunition
CN110750815A (en) * 2019-09-20 2020-02-04 中国人民解放军63961部队 Ballistic trajectory inspection method for common shooter of different bullet types
CN111707140A (en) * 2020-07-28 2020-09-25 中国人民解放军陆军装甲兵学院 Sniper rifle aiming point automatic correction method and system
CN112833704A (en) * 2021-01-06 2021-05-25 中国人民解放军63856部队 Novel ballistic bias flow testing method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103115711A (en) * 2013-01-25 2013-05-22 中国兵器工业第二0二研究所 Method for testing braking force of muzzle brake
CN104197870A (en) * 2014-09-22 2014-12-10 中国人民解放军装甲兵工程学院 Automatic cannon target surface coordinate acquiring method
CN106125549A (en) * 2016-06-27 2016-11-16 中国人民解放军装甲兵工程学院 Between a kind of overhead weapon station is advanced, burst-firing gun muzzle vibrates substep suppressing method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103115711A (en) * 2013-01-25 2013-05-22 中国兵器工业第二0二研究所 Method for testing braking force of muzzle brake
CN104197870A (en) * 2014-09-22 2014-12-10 中国人民解放军装甲兵工程学院 Automatic cannon target surface coordinate acquiring method
CN106125549A (en) * 2016-06-27 2016-11-16 中国人民解放军装甲兵工程学院 Between a kind of overhead weapon station is advanced, burst-firing gun muzzle vibrates substep suppressing method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
毛保全等: "某型遥控武器站射击密集度仿真与优化", 《装甲兵工程学院学报》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110717253A (en) * 2019-09-20 2020-01-21 中国人民解放军63961部队 Ballistic consistency testing method for two types of ammunition
CN110750815A (en) * 2019-09-20 2020-02-04 中国人民解放军63961部队 Ballistic trajectory inspection method for common shooter of different bullet types
CN111707140A (en) * 2020-07-28 2020-09-25 中国人民解放军陆军装甲兵学院 Sniper rifle aiming point automatic correction method and system
CN111707140B (en) * 2020-07-28 2022-05-06 中国人民解放军陆军装甲兵学院 Sniper rifle aiming point automatic correction method and system
CN112833704A (en) * 2021-01-06 2021-05-25 中国人民解放军63856部队 Novel ballistic bias flow testing method

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Application publication date: 20180706