节点文献
用于塞曼热稳频的自组织自适应预测控制系统
Self organized Predictive Adaptive Control Algorithm for Thermal Compensated Frequency Stabilization
【摘要】 塞曼热稳频广泛应用于双频激光干涉仪中,但稳频调节器的设计存在建模困难和调整工作量大的缺点。本文提出一种非参数化自组织建模的预测控制算法实现稳频控制,并进一步引入自适应算法消除模型误差。开发了可通用于各类塞曼热稳频系统的控制软件,成功地在幅值稳频和频差稳频塞曼激光器上实现了全自动热稳频。通过和中国计量科学研究院标准I2 吸收稳频激光器的拍频比对,表明基于频差稳频的横向塞曼激光器频率稳定度达3-38 ×10 - 10 ,频率复现性达3-75 ×10 -9 。基于光强稳频的纵向塞曼激光器的频率稳定度优于2 ×10 - 8 。
【Abstract】 The conventional thermal compensated frequency algorithm based on PID has the disadvantage of difficulty in adjustment and sensitivity to the model error of the system. A predictive control algorithm, which is self organized based on the system response to the step change of heating voltage, is presented in this paper. In order to reducing the model error, the adaptive control method based on least square algorithm is adopted. The algorithm is realized with PLM language on 8098 single chip processor, which is suitable for both intensity based and beat frequency based frequency stabilized system. With this algorithm, the frequency stability is 3 38×10 -10 , and the frequency repeatability is 3 75×10 -9 .
【Key words】 Themal compensated frequency stabilization; Model predict control; Self organization; Adaptive control algorithm;
- 【文献出处】 计量学报 ,ACTA METROLOGICA SINICA , 编辑部邮箱 ,2000年01期
- 【分类号】TN248
- 【被引频次】12
- 【下载频次】94