The success of the shooting of a moving vehicle can be achieved by providing barrel stabilization. In the meantime, it is necessary barrel angle must be positioned is instantaneously calculated accurately. In this paper, the required barrel elevation angle was calculated via artificial neural networks and the shooting success to a fixed target from a moving tank was investigated. For this purpose, a mathematical model of a tank, which has four degrees of freedom, with a barrel mounted on it has been utilized. The barrel is moved using an inverted slider mechanism. The system is driven hydraulically by considering the movement of the piston–cylinder pair in the inverted slider mechanism. The conventional PID control method has been preferred for angular position control of the barrel. Simulations have been performed with the MATLAB package program. System responses have been obtained graphically and the results have been presented in tabular form. It is seen that the pressure, flow, etc. obtained from the results overlap with the physical system. It is observed that the elevation angle of 10 degrees is captured and shot very well when the vehicle is stationary. In the moving state of the vehicle, the 10-degree elevation angle capture as well. In the moving case, there are tiny deviations in the target hit but these values can be considered to be reasonable levels. The deviation amount for the target 4 kilometers away is 16.28 meters.

射击移动车辆的成功可以通过提供枪管稳定来实现。同时，必须对定位的枪管角度进行瞬时准确计算。在本文中，通过人工神经网络计算所需的炮管仰角，并研究从移动坦克对固定目标的射击成功率。为此，使用了具有四个自由度的坦克的数学模型，并在其上安装了枪管。使用倒置滑块机构移动枪管。该系统通过考虑活塞-气缸副在倒置滑块机构中的运动来进行液压驱动。传统的 PID 控制方法已被首选用于枪管的角位置控制。已经使用 MATLAB 程序包进行了仿真。系统响应以图形方式获得，结果以表格形式呈现。可以看出，从结果中得到的压力、流量等与物理系统有重叠。观察到车辆静止时10度仰角的拍摄效果非常好。在车辆移动状态下，10度仰角也能捕捉到。在移动的情况下，目标命中有微小的偏差，但这些值可以被认为是合理的水平。4公里外目标的偏差量为16.28米。观察到车辆静止时10度仰角的拍摄效果非常好。在车辆移动状态下，10度仰角也能捕捉到。在移动的情况下，目标命中有微小的偏差，但这些值可以被认为是合理的水平。4公里外目标的偏差量为16.28米。观察到车辆静止时10度仰角的拍摄效果非常好。在车辆移动状态下，10度仰角也能捕捉到。在移动的情况下，目标命中有微小的偏差，但这些值可以被认为是合理的水平。4公里外目标的偏差量为16.28米。