The conventional parameter optimization method for fiber Bragg grating strain sensors mainly relies on the sparrow search algorithm,but this method ignores the influence of strain transfer,resulting in low sensor sensitivity and inability to ensure measurement accuracy.Therefore,an automatic optimization algorithm for parameter sensitivity of fiber Bragg grating strain sensors based on weighted least squares method is proposed.Based on the basic structure of the sensor,combined with the direction of strain trans-fer and engineering,considering the regular changes in strain coefficient,and the strain transfer loss is cal-culated.Calculate the amplitude of wavelength change using the coefficient of change model.From this,the sensitive field distribution of the sensor is obtained.Combined with the mode coupling theory,a param-eter optimization model is established with the objective function of uniformity of the sensitive field distribu-tion and minimizing the ratio of maximum capacitance to minimum capacitance,and the weighted least squares method is used to weight the sampling points to obtain the optimal response values,thereby obtai-ning the optimal structural parameters of the sensor.Taking a certain fiber optic sensor as the experimental object,the structural parameters were optimized using the design method.The results showed that the sen-sitivity of the sensor was guaranteed and the measurement accuracy was improved.
weighted least squares methodfiber bragg grating strain sensorsensitivity optimiza-tionoptimize sensitivity
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