Temperature Drift Compensation Method for Tunable F-P Filter Based on Improved AdaBoost Algorithm

Wenjuan Sheng; Zhenpu Lai; Ning Yang; Gangding Peng

doi:10.3788/AOS221019

Acta Optica Sinica, Volume. 43, Issue 3, 0306004(2023)

Temperature Drift Compensation Method for Tunable F-P Filter Based on Improved AdaBoost Algorithm

Wenjuan Sheng^1、*, Zhenpu Lai¹, Ning Yang¹, and Gangding Peng²

Author Affiliations

¹School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

²School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, Australia

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Figures & Tables(15)

Fig. 1. Flow chart of improved AdaBoost.R2 algorithm

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Fig. 2. Schematic of FBG demodulation system

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Fig. 3. Change rate of filter surface temperature

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Fig. 4. Relation between FBGs absolute wavelength shift and filter surface temperature

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Fig. 5. Results of wavelength compensation of AdaBoost.R2 and improved Adaboost.R2

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Fig. 6. Results of wavelength compensation of different algorithms. (a) MLP; (b) SGD; (c) CART; (d) LSSVR

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Fig. 7. Results of wavelength compensation of sensor grating

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Fig. 8. Relationship between driving voltage and Bragg wavelength in cooling process

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Fig. 9. Results of wavelength compensation of AdaBoost.R2 and improved AdaBoost.R2 in the wide range of temperature drift

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Fig. 10. Results of wavelength compensation of AdaBoost.R2 and improved AdaBoost.R2 in a cooling environment

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Fig. 11. Results of wavelength compensation of different algorithms in a cooling environment. (a) MLP; (b) SGD; (c) CART;(d) LSSVR

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Table 1. Characteristic wavelength of each FBG
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Table 1. Characteristic wavelength of each FBG
FBG G0 G1 G2 G3
Characteristic wavelength /nm 1528.839 1541.76 1557.41 1562.183

Table 2. Statistical results of each algorithm
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Table 2. Statistical results of each algorithm
Algorithm MLP CART SGD LSSVR AdaBoost.R2 Improved AdaBoost.R2
MAXE /pm 11.78 12.36 10.74 20.83 14.03 4.75
SD 3.17 2.78 2.45 4.04 3.11 0.91

Table 3. Statistical results of FBGs
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Table 3. Statistical results of FBGs
FBGs G1 G2 G3
MAXE /pm 2.42 4.01 4.75
SD 0.54 0.89 0.91

Table 4. Statistical results of each algorithm in a cooling environment
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Table 4. Statistical results of each algorithm in a cooling environment
Algorithm MLP CART SGD LSSVR AdaBoost.R2 Improved AdaBoost.R2
MAXE /pm 4.57 6.64 7.74 6.34 3.78 2.23
SD 0.87 1.36 1.77 1.48 0.81 0.76

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Wenjuan Sheng, Zhenpu Lai, Ning Yang, Gangding Peng. Temperature Drift Compensation Method for Tunable F-P Filter Based on Improved AdaBoost Algorithm[J]. Acta Optica Sinica, 2023, 43(3): 0306004

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