小型无损探伤电子直线加速器BP神经网络稳频系统
BP Neural Network Method on the Frequency Stabilization System of the Portable Electron Linear Accelerator for Nondestructive Inspection
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摘要: 作为小型探伤电子直线加速器功率源的磁控管 (工作频率为 93 70MHz), 其主要缺点是自身振荡频率的稳定性差, 且磁控管在工作中由于各种原因会产生打火、跳谱和散谱现象, 从而造成加速器工作不稳定, 因此, 必须采用频率稳定系统。为了更好地解决上述问题, 应用BP神经网络方法, 以保证工作频率稳定。Abstract: As the power source of portable electron linear accelerator for nondestructive inspection, the magnetron with the operating frequency at 9 730 MHz has the main disadvantage of bad oscillating frequency stabilization by itself, the phenomena of striking and the dispersion and the slight jump of the spectrum by any cause during the operating process. As a result, the accelerator will be unstable. In order to solve the above problems efficiently a frequency stabilization system, based on the BP neural network method is presented in the paper.