摘要
为了用火炮后坐加速度最大值来辨识火炮装药号,在火炮内弹道和反后坐装置模型基础上建立了后坐加速度计算模型,通过仿真,分析了实际使用中火炮结构参数和射击参数变化对后坐加速度最大值的影响,发现药室增长量、装药温度对后坐加速度最大值影响较大,只用后坐加速度最大值不能对装药号有效辨识。采用了后坐加速度最大值和装药温度并结合四个药室增长量变化阶段来辨识装药号的方案,用人工神经网络建立了辨识模型。仿真试验表明:该模型对火炮装药号的辨识正确率达到100%。
To recognize gun charge using the maximal recoil acceleration,the recoil acceleration calculation model was built up based on the interior ballistic trajectory model and the recoil system model.Through simulation,the effect on the maximal recoil acceleration of the gun structural parameters and firing parameters which change in the actual operation condition was analyzed and the fact was found that the gun charge can not be effectively recognized only using the maximal recoil acceleration for the chamber enlargement and the powder temperature have remarkable effect on the acceleration.So the plan using the maximal recoil acceleration and the powder temperature to recognize gun charge was adopted which considering the four phases of the chamber enlargement at the same time.The recognizing model was set up using the artificial neural network and the simulation test indicates that the recognizing model has 100%correct recognizing rate to the gun charges.
出处
《机械工程师》
2011年第1期6-9,共4页
Mechanical Engineer
关键词
后坐加速度最大值
装药号辨识
人工神经网络
药室增长量
装药温度
maximal recoil acceleration
gun charge recognizing
artificial neural network
chamber enlargement
powder temperature