| 反射式光纤位移传感器数学模型的优化 |
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| 引用本文： | 汪晓东.反射式光纤位移传感器数学模型的优化[J].光子学报,2002,31(10):1266-1269. |
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| 作者姓名： | 汪晓东 |
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| 作者单位： | 浙江师范大学数理与信息科学学院,浙江金华,321004 |
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| 摘 要： | 提出一种基于改进的遗传算法的反射式光纤位移传感器数学模型优化方法.举例说明了该方法的应用,并将其与传统的Causs-Newton优化方法进行比较.结果表明,用改进的遗传算法优化反射式光纤位移传感器的数学模型具有速度快、精度高的优点,且不像传统优化方法要求有一充分接近最优点的初值.优化后的传感器数学模型能较好地反映传感器的实际特性.
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| 关 键 词： | 光纤 位移传感器 建模 优化 遗传算法 |
| 收稿时间： | 2002/1/7 |
| 修稿时间： | 2002年1月7日 |
MATHEMATICAL MODEL OPTIMIZATION OF THE REFLECTIVE FIBER-OPTIC DISPLACEMENT SENSOR |
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| Wang Xiaodong College of Mathematics,Physics and Information Science,Zhejiang Normal University.Jinhua ,China.MATHEMATICAL MODEL OPTIMIZATION OF THE REFLECTIVE FIBER-OPTIC DISPLACEMENT SENSOR[J].Acta Photonica Sinica,2002,31(10):1266-1269. |
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| Authors: | Wang Xiaodong College of Mathematics Physics and Information Science Zhejiang Normal UniversityJinhua China |
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| Institution: | Wang Xiaodong College of Mathematics,Physics and Information Science,Zhejiang Normal University.Jinhua 321004,China |
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| Abstract: | A method for mathematical model optimization of the reflective fiber-optic displacement sensor is presented based on the improved Genetic Algorithms (GAs).An example demonstrates how to use this method.The method is compared with the conventional Gauss Newton optimization method about the optimization capability.The result shows that the the accuracy of the optimized model using Genetic Algorithms is much better than that using the conventional optimization method and its optimization speed is much faster.Furthermore,it does not demand the initial parameters near the solution.Therefore,it is proved that the obtained mathematical model of the sensor by this method can rightly express the sensor’s actual sensed characteristics. |
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| Keywords: | Optical fiber Displacement sensor Modeling Optimization Genetic algorithms |
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