基于PFC算法的纵向塞曼热稳频系统预热控制方法

The Method of Warm-up Control Base on PFC Algorithm Applied in the Longitudinal Zeeman Thermal Compensated Frequency Stabilization System

针对传统纵向塞曼热稳频系统的恒值加热方法存在预热时间长、在不同环境预热效果存在差异的问题，提出了一种基于预测函数控制（PFC）算法的预热控制方法。该方法采用一阶加纯滞后模型作为PFC算法的预测模型，参考Smith预估思想对系统输出对象进行修正，可以有效克服被控系统热交换的时滞特性对预热效果的影响，缩短预热时间；控制参考温度与不同环境温度相差为固定值，并设定阈值跳模时间作为预热稳频转换的判据，可以有效克服环境温度对同一时刻预热效果的影响。实验表明，在15～26℃环境温度下，激光器开机小于17min即可完成预热一稳频转换，预热时间差异小于2min，不同环境下热平衡温度与环境温度差值的差异小于1．5℃。

A method of warm-up control based on Predictive Functional Control（PFC） algorithm is proposed. The method uses the time lag of first order model to be the predictive model of the PFC algorithm, uses the Smith predictor to revise the output quantity, which can avoid the bad influence on the effect caused by the time lag of the heat-exchange in the process of warm-up, and the time of the process is much shorter; it uses the threshold quantity of the mode-jump time to be the criterion of the warm-up/frequency stabilization change,and the diversity of the subtraction of the referenced temperature and the ambient temperature is a constant. According to the experimental result, the system can finish the warm-up process to change into the frequency stabilization control in shorter than 17 minutes between 15-26℃ ,the diversity of warm-up time is shorter than 2 min,the diversity of the subtraction of the warm-up temperature and the ambient temperature is smaller than 1.5℃.