Journal of Atmospheric and Environmental Optics ›› 2018, Vol. 13 ›› Issue (3): 218-225.

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Research on Dynamic Cablibration of Fixed Mirror of FTIR Based on Fuzzy Control

HU Yang1,2,3, XU Liang2,3, LIU Jianguo1,2,3, JIN Ling2,3, YE Shubin2,3, LI Yakai2,3,HU Rong1,3   

  1. (1 School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China; 
    2 Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 
    3 Key Laboratory of Environmental Optics Monitoring Technology of Anhui Province, Hefei 230031, China)
  • Received:2017-03-09 Revised:2017-04-06 Online:2018-05-28 Published:2018-05-31
  • About author:胡洋(1989-),男,安徽人,研究生,主要从事迈克逊干涉仪自准直校正方面的研究。
  • Supported by:

    National Key Research and Development Plan(国家重点研发计划,2016YFC0201002,2016YFC0803001),Chinese Academy of Sciences Advanced Research Projects(中国科学院前沿科学重点研究项目,QYZDY-SSW-DQC016),Anhui Province Key Research and Development Plan(安徽省重点研究与开发计划,1704c0402196),National Key Foundation for Exploring Scientific Instrument(国家重大科学仪器设备开发专项,2013YQ22064302)

Abstract:

The influence of the tilting angle of the circular optical path under the aperture angle on the modulation degree and the phase error is analyzed, and the dynamic calibration scheme is designed. Considering that the traditional proportional-integral-derivative (PID) controller is strictly dependent on the mathematical model of the dynamic correction system, while in the real closed-loop system, some parameters still can’t be obtained accurately. Fuzzy PID control strategy is used, and the fuzzy input and output of membership function is selected, after the development of fuzzy rule base, fuzzy reasoning, the closed-loop corrected system is given. According to the experiment, the feasibility of the method is verified, which can effectively get rid of the dependence on the exact mathematical model of the calibration system. It can increases the laser interference modulation degree from 0.6 to 0.99, and the phase difference is reduced to 0.1 °, the stability and adjustment time are also much better against the traditional PID controller.

Key words: interference modulation degree, phase difference, PID, fuzzy PID control, stability performance

CLC Number: