基于人工神经网络的航空相机导片轴转速预测研究

Curling Speed Forecast Research Based on Artificial Neural Network of Aviation Camera Film Spindle

航空相机导片轴转速预测有着重要的技术作用.为了准确预测航空相机导片轴的转速,本文提出了基于人工神经网络的转速预测方法.从相机导片轴的动态方程出发,推导出了转速的表达式,然后根据转速与定子电压、定子电流、转子磁链之间的非线性关系,建立了两种人工神经网络转速预测模型.文后的仿真结果表明,这两种基于人工神经网络的转速预测模型可以准确跟踪相机导片轴转速的变化,具有一定的科学性和先进性.

The curling speed forecast of aviation camera film spindle is a key technology. In order to estimate the speed accurately, this paper brought out methods of speed forecast based on artificial neural networks. Two expressions of the curling speed were derived from the dynamic equations of the film spindle. According to the spindle speed as the nonlinear functions of the stator voltages, the stator currents and the spindle flux, two speed estimation models based on artificial neural networks were built. Simulation results show that the neural network speed estimators can accurately track the variation of the spindle speed. They are scientific and advanced.