本文選題：FBG傳感 + 可調(diào)諧法布里-珀羅濾波器��； 參考：《光通信技術(shù)》2017年09期

【摘要】：首先介紹了光纖光柵(FBG)遠程傳感系統(tǒng)的組成及解調(diào)方法。針對FBG傳感系統(tǒng)在遠程設(shè)置零點時,數(shù)據(jù)處理速率波動引起的數(shù)據(jù)采集速率與數(shù)據(jù)處理速率不匹配問題,提出引入粒子群(PSO)算法實時在線優(yōu)化光譜掃描速率,使動態(tài)傳感系統(tǒng)持續(xù)處于系統(tǒng)可能達到的最高數(shù)據(jù)采集速率,降低傳感系統(tǒng)測量精度。最后通過實驗平臺驗證了該算法的有效性。
[Abstract]:The composition and demodulation method of fiber Bragg grating (FBG) remote sensing system are introduced. Aiming at the mismatch between the data acquisition rate and the data processing rate caused by the fluctuation of the data processing rate when the FBG sensor system sets the zeros remotely, a particle swarm optimization (PSO) algorithm is proposed to optimize the spectral scanning rate in real time. The dynamic sensing system is kept at the maximum data acquisition rate which can be achieved by the system, and the measurement accuracy of the sensing system is reduced. Finally, the effectiveness of the algorithm is verified by the experimental platform.
【作者單位】： 上海電力學(xué)院自動化工程學(xué)院;
【基金】：國家留學(xué)基金委留學(xué)基金資助項目(2009102131)資助 國家自然科學(xué)基金青年基金(61003089)資助 上海市地方院校能力建設(shè)專項項目(15160500800)資助
【分類號】：TN253;TP212
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本文編號：2042732