| Application of genetic algorithm in quasi-static fiber grating wavelength demodulation technology |
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| 作者姓名： | TENGFeng-cheng YlNWen-wen WUFei LIZhi-quang WUTi-hua |
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| 作者单位： | InstituteofAutomaticInstrument,CollegeofElectricEngineering,YanshanUniversity,Qinhuangdao066004．China |
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| 摘 要： | A modified genetic algorithm (GA) has been proposed, which was used to wavelength demodulation in quasi-static fiber grating sensing system. The modification method of GA has been introduced and the relevant mathematical model has been established. The objective function and individual fitness evaluation strategy interrelated with GA are also established. The influence of population size, chromosome size, generations, crossover probability and mutation probability on the GA has been analyzed, and the optimal parameters of modified GA have been obtained. The simulations and experiments, show that the modified GA can be applied to quasi-static fiber grating sensing system, and the wavelength demodulation preci- sion is equal to or less than 3 pm.
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| 关 键 词： | 准静态光纤 波长 遗传算法 调制技术 |
| 文章编号： | 1673-1905（2007）04-0271-04 |
| 收稿时间： | 8 October 2006 |
Application of genetic algorithm in quasi-static fiber grating wavelength demodulation technology |
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| TENGFeng-cheng YlNWen-wen WUFei LIZhi-quang WUTi-hua.Application of genetic algorithm in quasi-static fiber grating wavelength demodulation technology[J].Opto-electronics Letters,2007,3(4):271-274. |
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| Authors: | Teng Feng-cheng Yin Wen-wen Wu Fei Li Zhi-quang and Wu Ti-hua |
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| Affiliation: | (1) Institute of Automatic Instrument, College of Electric Engineering, Yanshan University, Qinhuangdao, 066004, China |
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| Abstract: | A modified genetic algorithm (GA) has been proposed, which was used to wavelength demodulation in quasi-static fiber grating sensing system. The modification method of GA has been introduced and the relevant mathematical model has been established. The objective function and individual fitness evaluation strategy interrelated with GA are also established. The influence of population size, chromosome size, generations, crossover probability and mutation probability on the GA has been analyzed, and the optimal parameters of modified GA have been obtained. The simulations and experiments, show that the modified GA can be applied to quasi-static fiber grating sensing system, and the wavelength demodulation precision is equal to or less than 3 pm. |
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| Keywords: | TN253 |
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