De Algorithm Optimization Design Research and Numerical Simulation of a New Optical Fiber F-P Sensing System

Abstract:

Optical fiber F-P sensor has several advantages, such as strong anti-interference ability, quick speed and high precision. It is widely applied in detecting fields. But optical fiber F-P sensor deviates from working point easily in practical applications, it leads to output signal attenuation and the decreasing of signal noise ratio. The double wavelength optical fiber F-P sensing system is designed to solve the problem. DE algorithm mathematical model of sensing system is established, meanwhile, a higher orthogonal precision sensing system is optimization designed. The orthogonal error of sensing system is studied. The results show that DE algorithm is correct and reliable. Its run time is shorter and the error is less than 10-3. The optimization objective decreases sharply. When the length of F-P cavity changes 0~2500nm, the orthogonal error of sensing system is less than 5%. It has higher stability and anti-interference ability. These results show that the DE algorithm can be used for the structural optimization design of optical fiber F-P sensor.

• Periodical: Advanced Materials Research (Volume 710)
• Pages: 484-487
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.710.484
• Online since: June 2013
• Authors: Ning Shan, Tuan Jie Liu
• Keywords: Differential Evolution (DE) Algorithm, Double Wavelength Technology, Fabry-Perot Interferometers, Optical Fiber, Structural Optimization

References

[1] Storn R., Price K., DE-A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Space[R]. Technical report TR-95-012, ICSI, 1995.

[2] Storn R., Price K., DE-A Simple and Efficient Heuristic for Global Optimization over Continuous Space[J]. Journal of global optimization, 1997, 11(4):341~359.

[3] Mayer D. G., Kinghorn B. P., Archer A. A., Differential Evolution－An Easy and Efficient Evolutionary Algorithm for Model Optimization[J]. Agricultural Systems, 2005, 83(3): 315~328.

DOI: 10.1016/j.agsy.2004.05.002

[4] Chang Wei de, Parameter identification of Rossler's chaotic system by An Evolutionary Algorithm[J]. Science, 2006, 29:1047~1053.

[5] W. Pulliam, P. Russler, R. Mlcak, et al. Micromachined, SiC fiber optic pressure sensors for high temperature aerospace applications[J]. Proceeding of SPIE, 2000, 4202: 21~30.

DOI: 10.1117/12.411723

[6] I. Read, P. Footel, S. Murray, Optical fibre acoustic emission sensor for damage detection in carbon fibre composite structures[J]. Measurement Science and Technology, 2002, 13(1): 5-9.

DOI: 10.1088/0957-0233/13/1/402

[7] Zhao Jiang-hai, Shi Yi-kai, Shan Ning, etal. Stabilized fiber-optic extrinsic Fabry-Perot sensor system for acoustic emission measurement[J]. Optics and Laser Technology，2008, 40(6): 874-880.

DOI: 10.1016/j.optlastec.2007.11.002