为了提高光纤光栅(FBG)解调系统的波长解调精度,采用粒子群优化(PSO)算法结合参考光纤光栅(FBG),对常用波长解调器Fabry-Perot型光纤滤波器(FPF)的透射光谱中心波长与控制电压之间存在的非线性和回滞特性进行了研究,并提出一种实时建立FPF透射光中心波长与其控制电压之间关系模型的方法。该方法利用粒子群优化算法收敛快、易实现的特点,保证了FPF模型建立的准确性和实时性。实验结果证明,利用所建模型可有效提高FBG传感系统的波长测量准确度,测量误差不超过25 pm。系统结构简单,对提高FBG传感系统的测量准确度具有重要意义。
In order to improve the measurement accuracy of FBG sensing system, particle swarm optimization (PSO) algorithm combined with reference FBGs array was applied to investigate the nonlinearity and hysteresis character of Fabry-Parot filter (FPF). A method of modeling the wavelength--voltage relationship of FPF online in each FPF scanning cycle was proposed in the present paper. The feature of particle swarm optimization algorithm such as fast convergence and simple implementation makes the process of modeling wavelength-voltage relationship of FPF be completed with low computing cost and high accuracy. With the set-up model, the absolute error in wavelength detection of FBG sensors was demonstrated by experiments to be as low as 0. 03 nn~ The structure of the system is compact and the proposed modeling approach has important meaning in FBG sensors system when FPF is used as wavelength demodulator.