BP神经网络在测控设备自动调平系统中的应用

The application of BP neural network in the automatic leveling system of measurement and control equipment

Ka频段车载测控设备在航天领域的快速发展,促进了电子水平传感器自动调平系统在车载测控设备的广泛应用。目前设备都是在跟踪目标前利用调平系统传感器反馈的信号进行调平,并计算出补偿误差,而在天线运转过程中重心变化又引入了一定的系统误差,降低了设备的外测精度。利用BP神经网络在天线实时跟踪目标时电子水平传感器反馈的信号预测误差,进行动态补偿。通过实际验证,证明可以减少设备测量误差和达到提高测量精度的目的。

With the rapid development of the Ka frequency-band vehicle test and control equipment in the aerospace field,it has promoted the widespread application of electronic level sensor automatic leveling systems in vehicle measurement and control equipment.At present,the device uses the signal of the leveling system sensor feedback before tracking the target,and calculates the compensation error.During the antenna operation,the center of gravity changes a certain system error,which reduces the external test accuracy of the device.The BP neural network is used to dynamically compensate the signal prediction error fed back by the electronic level sensor when the antenna is tracking the target in real time.Through actual verification,it proves that the equipment measurement error can be reduced and the purpose of improving measurement accuracy can be achieved.