基于灰色系统理论的某坦克炮初速修正研究  被引量:3

Research on Tank Guns Velocity Correction Technology Based on Grey System Theory

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作  者:王国辉 赵硕 李向荣 刘云泉[2] 

机构地区:[1]装曱兵工程学院兵器工程系,北京100072 [2]中国人民解放军65053部队,辽宁大连116013

出  处:《火炮发射与控制学报》2016年第3期17-19,29,共4页Journal of Gun Launch & Control

摘  要:坦克炮作为直瞄武器,其初速的下降对射击精度影响很大,因此在射击前需要通过火控系统对初速加以修正。通过对目前几种火炮初速的修正方法进行归纳,指出方法的不足之处。提出了基于灰色系统理论的坦克炮初速修正方法,鉴于身管磨损量属于随机振荡序列,需要对模型进行优化,变换处理磨损数据,建立了适用于坦克炮身管磨损量的GM(1,1)灰色预测模型,通过某型坦克炮试验数据验证了预测模型的准确性,并利用拉格朗日插值的方法计算相应磨损量下的坦克炮初速减退量。As direct fire weapons, the decline of muzzle velocity of tank guns has a great impact on firing accuracy, so there is a need for velocity revision through fire control system prior to firing. A summarization and a brief introduction are made of the several gun muzzle velocity revision methods with their limitations pointed out. Muzzle velocity correction method of tank guns is put forward based on grey system theory. Considering the wear of the body belongs to random oscillation tube wear, the model needs to be optimized and processing data be transformed so that GM ( 1 , 1 ) grey prediction model is built, which is compatible with its body tube wear. Finally, experimental data collected from a certain type of tank guns are used to verify the accuracy of the prediction model, and the muzzle velocity decline statistics of tank guns under the corresponding amount of wear and tear are calculated with Lagrange interpolation method.

关 键 词:坦克炮 修正方法 灰色系统理论 预测模型 

分 类 号:TJ38[兵器科学与技术—火炮、自动武器与弹药工程]

 

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