Infrared and Laser Engineering, Volume. 53, Issue 12, 20240359(2024)

Thermal imaging-based temperature control method for laser solid-state phase transformation process

Qunli ZHANG1,2,3, Tianlu LI1,2, Zhijun CHEN1,2, Siyuan XIANG1,2, Guolong WU1,2,3, Xuechun LIN4, and Jianhua YAO1,2、*
Author Affiliations
  • 1Institute of Laser Advanced Manufacturing, Zhejiang University of Technology, Hangzhou 310023, China
  • 2College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
  • 3Zhejiang Provincial Innovation Center of Laser Intelligent Equipment Technology, Wenzhou 325013, China
  • 4Laboratory of All-Solid-State Light Sources, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
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    Figures & Tables(20)
    Schematic diagram of the laser solid-state phase transformation system device
    Fitting plot of laser solid-state phase transformation temperature data
    Structure of PID controller
    Structure of fuzzy inference system
    Structure of FPID control system
    Member functions for input variables e, ec
    (a) Fuzzy control surface map of ΔKp; (b) Fuzzy control surface map of ΔKi; (c) Fuzzy control surface map of ΔKd
    Temperature measurement schematic diagram of laser solid-state phase transformation process
    Structure of fuzzy adaptive parallel PID control system
    The membership function of the input variable
    Control curve of fuzzy controller 2
    Simulink simulation model of laser solid-state phase transformation system
    Comparison of simulation results of different control methods
    Comparison of experimental results of different control methods
    • Table 1. Basic domain, fuzzy domain and scale factor of fuzzy controller

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      Table 1. Basic domain, fuzzy domain and scale factor of fuzzy controller

      Input and output parametersBasic domainFuzzy domainScaling factor
      e[−12001200][−3 3]0.0025
      ec[−500 500][−3 3]0.006
      ΔKp[−9 9][−3 3]3
      ΔKi[−3 3][−3 3]1
      ΔKd[−1 1][−3 3]0.3
    • Table 2. Table of fuzzy control rules for ΔKp

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      Table 2. Table of fuzzy control rules for ΔKp

      ΔKpec
      NBNMNSZOPSPMPB
      eNBNBNBNMNMNSZOZO
      NMNBNMNSNSNSZOPS
      NSNMNSNSZOZOPSPS
      ZONMNSZOZOZOPSPM
      PSNSNSZOZOPSPSPM
      PMNSZOPSPSPSPMPB
      PBZOPSPMPMPMPBPB
    • Table 3. Table of fuzzy control rules for ΔKi

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      Table 3. Table of fuzzy control rules for ΔKi

      ΔKiec
      NBNMNSZOPSPMPB
      eNBPBPBPMPMPSZOZO
      NMPBPBPSPSPSZOZO
      NSPBPMPSPSZONSNS
      ZOPMPMPSZONSNMNM
      PSPMPSZONSNSNMNB
      PMZOZONSNSNSNBNB
      PBZOZONSNMNMNMNB
    • Table 4. Table of fuzzy control rules for ΔKd

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      Table 4. Table of fuzzy control rules for ΔKd

      ΔKdec
      NBNMNSZOPSPMPB
      eNBZOZOZOZOZOZOZO
      NMPMPMPSZOPSPMPM
      NSPBPMPMZOPMPMPB
      ZOPBPBPMZOPMPBPB
      PSPBPMPMZOPMPMPB
      PMPMPMPSZOPSPMPM
      PBZOZOZOZOZOZOZO
    • Table 5. Performance comparison of different control methods in simulation

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      Table 5. Performance comparison of different control methods in simulation

      Control methodRise time/sSettling time/sASSE/℃
      PID4.106.4015.99
      FPID3.905.5011.23
      FAP-PID3.504.604.01
    • Table 6. Performance comparison of different control methods in experiments

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      Table 6. Performance comparison of different control methods in experiments

      Control methodRise time/sSettling time/sASSE/℃
      PID2.644.0014.38
      FPID2.003.1214.18
      FAP-PID2.002.646.23
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    Qunli ZHANG, Tianlu LI, Zhijun CHEN, Siyuan XIANG, Guolong WU, Xuechun LIN, Jianhua YAO. Thermal imaging-based temperature control method for laser solid-state phase transformation process[J]. Infrared and Laser Engineering, 2024, 53(12): 20240359

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    Paper Information

    Category: 激光器与激光光学

    Received: Aug. 7, 2024

    Accepted: --

    Published Online: Jan. 16, 2025

    The Author Email: YAO Jianhua (laser@zjut.edu.cn)

    DOI:10.3788/IRLA20240359

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