神经网络优化自抗扰控制在供输弹系统中的应用

Application of Neural Network Optimized ADRC in Ammunition Feeding System

为了解决自抗扰控制参数过多不易整定的问题,将神经网络应用于自抗扰控制器中。为了提高链式自动炮的自动机电机和供输弹电机的速度同步性能,将自抗扰控制器融入两电机交叉耦合控制方案中。通过仿真实验,证明该控制方案切实可行,对现有装备升级改造具有参考价值。

In order to improve the speed synchronization between automat motor and ammunition feeding motor in chain automatic gun, the ADRC was integrated into the motors’ cross-coupling control scheme. In order to solve the problem that the ADRC parameters are difficult to be set, the neural network was applied to it. Through simulation experiments, it is proved that the neural network optimized ADRC is feasible in the cross-coupling control of two motors, and it has a certain reference value for upgrading existing equipment.