Nuclear Techniques ›› 2020, Vol. 43 ›› Issue (5): 50101-050101.doi: 10.11889/j.0253-3219.2020.hjs.43.050101


Intelligent commissioning system based on EPICS and differential evolution algorithm for synchrotron radiation beamline

Yingzhi SHI1,2,Mei GAO1,3,Wenhong JIA1,3,Guangzhi YIN1,3,Xingyu GAO1,3,Yonghua DU4,5(),Lifang ZHENG1,3()   

  1. 1.Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
    2.University of Chinese Academy of Sciences, Beijing 100049, China
    3.Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
    4.Institute of Chemical & Engineering Sciences, A*STAR, Singapore 627833
    5.National Synchrotron Light Source II, Brookhaven National Lab, USA 11973
  • Received:2020-01-02 Revised:2020-03-30 Online:2020-05-15 Published:2020-05-07
  • Contact: Yonghua DU,Lifang ZHENG;
  • About author:SHI Yingzhi, male, born in 1995, graduated from Zhejiang University in 2017, master student, major in electronics and communication engineering
  • Supported by:
    Joint Funds of the National Natural Science Foundation of China(U1632265)

Abstract: Background

In synchrotron radiation facilities, it is important to keep beamlines operating in optimal conditions. The debugging process is normally very time consuming due to the irregular light source beam point, and it is not easy to get global optimum.


This study aims to develop an intelligent debugging system based on Experimental Physics and Industrial Control System (EPICS) and differential evolution algorithm for synchrotron radiation beamline commissioning.


First of all, based on the differential evolution algorithm, intelligent optimization model of beamline was established. Then the automatic optimization of beam adjusting process was implemented by using LabVIEW program and communication with the EPICS-based control system was achieved by CaLab interface module. Functions of the user interface, motion control, algorithm implementation and evolution processing were integrated in the LabVIEW program. Finally, this intelligent commissioning system was tested at the X-ray diffractive (XRD) beamline of SSRF (Shanghai Synchrotron Radiation Facility) for optimization of the beam flux at sample position by adjusting the beamline optical components.

Results & Conclusions

Online tests results show that this intelligent commissioning system converges to the optimal solution quickly, and the convergence time is about 30 min, more than one order of magnitude higher than manual optimization efficiency.

Key words: Differential evolution algorithm, Synchrotron radiation beamline, Intelligent optimization, EPICS

CLC Number: 

  • TL99