Application of Particle Swarm Optimization Technique for an Optical Fiber Alignment System
In this paper, a new alignment method based on the particle swarm optimization (PSO) technique is presented. The PSO algorithm is used for locating the optimal coupling position with the highest optical power with three-degrees of freedom alignment. This algorithm gives an interesting results without a need to go thru the complex mathematical modeling of the alignment system. The proposed algorithm is validated considering practical tests considering the alignment of two Single Mode Fibers (SMF) and the alignment of SMF and PCF fibers.
[1] J. Kennedy and R. Eberhart, "Particle swarm optimization," IEEE
International Conference on Neural Networks, pp. 1942-1948, 1995.
[2] R. Eberhart and Y. Shi, "Comparison between genetic algorithms and
particle swarm optimization. evolutionary programming vii," Lecture
Notes in Computer Science, Springer-Verlag, pp. 661-616, 1998.
[3] W. Yiheng, L. Liang, and G. Haibing, "Frontier-based multi-robot map
exploration using particle swarm optimization," IEEE Symposium on
Swarm Intelligence, pp. 1-6, 2011.
[4] M. Miyatake, M. Veerachary, F. Toriumi, N. Fujii, and H. Ko, "Maximum
power point tracking of multiple photovoltaic arrays: A pso
approach," IEEE Transactions on Aerospace and Electronic Systems,
pp. 367-380, 2011.
[5] C. Shaozhong, T. Ji, and L. Heping, "Pso algorithm-based robust design
of pid controller for pmsm," Sixth International Conference on Natural
Computation, pp. 3513-3517, 2011.
[6] J. Knight, T. Briks, J. Russell, and M. Atkin, "All-silica single-mode
optical fiber with photonic crystal cladding," Opt. Lett. 21, pp. 1547-
1549, 1996.
[7] Z. Wenxin, D. Duke, T. Kubo, and B. Malinsky, "Interrelation profile
analysis method for alignment of polarization-maintaining fiber," Optical
Fiber Communication (OFC), collocated National Fiber Optic Engineers
Conference, 2010 Conference on (OFC/NFOEC), pp. 1-3, 2010.
[8] M. Shimizu, S. Takashima, and H. Kobayashi, "Identification system
for optical fiber transmission operation lines with local-light injection
and detection coupling system," Lightwave Technology, Journal of, pp.
686-692, 1994.
[9] W. Shun and Z. Yixin, "A robust alignment algorithm for microprocessor
based fiber fusion splicer," Image and Signal Processing, 2009. CISP
-09. 2nd International Congress on, pp. 1-4, 2009.
[10] S. Leon-Saval, T. Birks, N. Joly, A. George, W. Wadsworth,
G. Kakarantzas, and P. Russell, "Splice-free interfacing of photonic
crystal fbers," Opt. Lett. Vol. 30, No. 13, pp. 1629-1631, 2005.
[11] P. Bennett, T. M. Monro, and D. Richardson, "Toward practical holey
fiber technology: fabrication, splicing, modeling, and characterization,"
Opt. Lett. 24, pp. 1203-1205, 1999.
[12] F. Couny, F. Benabid, and P. Light, "Reduction of fresnel back-reflection
at splice interface between hollow core pcf and single-mode fiber," IEEE
Photonics Technology Letters, Vol. 19 Iss. 13, pp. 1020-1022, 2007.
[13] Y. L. Tsung, "Using a two-stage optimization strategy for the active
alignment of multifiber optical devices," Opt. Eng. 49, 053401, 2010.
[14] T. Lin, M. Yu, and C. Lee, "Optomechatronic integration for the
optimal control system of multi-fiber active alignment," Proc. SPIE
7266, 72661T, 2008.
[15] T. Y. Lin, M. Yu, and W. Liu, "Novel optomechanical alignment method
using a numerical optimization methodology," Opt. Eng. 46, 065004,
2007.
[16] D. Pham and M. Castellani, "Intelligent control of fiber optic components
assembly," Proc. Inst. Mech. Eng., Part B 215, pp. 1177-1189,
2001.
[17] R. Zhang and F. Shi, "Novel fiber optic alignment strategy using
hamiltonian algorithm and matlab/simulink," Opt. Eng. 42, pp. 2240-
2245, 2003.
[18] M. Murakawa, H. Nosato, and T. Higuchi, "Automatic optical fiber
alignment system using genetic algorithms," Proc. 6th Int. Conf. on
Artificial Evolution, pp. 223-234, 2003.
[19] ÔÇöÔÇö, "Automatic optical fiber alignment system using genetic algorithms,"
NASA/ESA Conference on Adaptive Hardware and Systems,
2006.
[1] J. Kennedy and R. Eberhart, "Particle swarm optimization," IEEE
International Conference on Neural Networks, pp. 1942-1948, 1995.
[2] R. Eberhart and Y. Shi, "Comparison between genetic algorithms and
particle swarm optimization. evolutionary programming vii," Lecture
Notes in Computer Science, Springer-Verlag, pp. 661-616, 1998.
[3] W. Yiheng, L. Liang, and G. Haibing, "Frontier-based multi-robot map
exploration using particle swarm optimization," IEEE Symposium on
Swarm Intelligence, pp. 1-6, 2011.
[4] M. Miyatake, M. Veerachary, F. Toriumi, N. Fujii, and H. Ko, "Maximum
power point tracking of multiple photovoltaic arrays: A pso
approach," IEEE Transactions on Aerospace and Electronic Systems,
pp. 367-380, 2011.
[5] C. Shaozhong, T. Ji, and L. Heping, "Pso algorithm-based robust design
of pid controller for pmsm," Sixth International Conference on Natural
Computation, pp. 3513-3517, 2011.
[6] J. Knight, T. Briks, J. Russell, and M. Atkin, "All-silica single-mode
optical fiber with photonic crystal cladding," Opt. Lett. 21, pp. 1547-
1549, 1996.
[7] Z. Wenxin, D. Duke, T. Kubo, and B. Malinsky, "Interrelation profile
analysis method for alignment of polarization-maintaining fiber," Optical
Fiber Communication (OFC), collocated National Fiber Optic Engineers
Conference, 2010 Conference on (OFC/NFOEC), pp. 1-3, 2010.
[8] M. Shimizu, S. Takashima, and H. Kobayashi, "Identification system
for optical fiber transmission operation lines with local-light injection
and detection coupling system," Lightwave Technology, Journal of, pp.
686-692, 1994.
[9] W. Shun and Z. Yixin, "A robust alignment algorithm for microprocessor
based fiber fusion splicer," Image and Signal Processing, 2009. CISP
-09. 2nd International Congress on, pp. 1-4, 2009.
[10] S. Leon-Saval, T. Birks, N. Joly, A. George, W. Wadsworth,
G. Kakarantzas, and P. Russell, "Splice-free interfacing of photonic
crystal fbers," Opt. Lett. Vol. 30, No. 13, pp. 1629-1631, 2005.
[11] P. Bennett, T. M. Monro, and D. Richardson, "Toward practical holey
fiber technology: fabrication, splicing, modeling, and characterization,"
Opt. Lett. 24, pp. 1203-1205, 1999.
[12] F. Couny, F. Benabid, and P. Light, "Reduction of fresnel back-reflection
at splice interface between hollow core pcf and single-mode fiber," IEEE
Photonics Technology Letters, Vol. 19 Iss. 13, pp. 1020-1022, 2007.
[13] Y. L. Tsung, "Using a two-stage optimization strategy for the active
alignment of multifiber optical devices," Opt. Eng. 49, 053401, 2010.
[14] T. Lin, M. Yu, and C. Lee, "Optomechatronic integration for the
optimal control system of multi-fiber active alignment," Proc. SPIE
7266, 72661T, 2008.
[15] T. Y. Lin, M. Yu, and W. Liu, "Novel optomechanical alignment method
using a numerical optimization methodology," Opt. Eng. 46, 065004,
2007.
[16] D. Pham and M. Castellani, "Intelligent control of fiber optic components
assembly," Proc. Inst. Mech. Eng., Part B 215, pp. 1177-1189,
2001.
[17] R. Zhang and F. Shi, "Novel fiber optic alignment strategy using
hamiltonian algorithm and matlab/simulink," Opt. Eng. 42, pp. 2240-
2245, 2003.
[18] M. Murakawa, H. Nosato, and T. Higuchi, "Automatic optical fiber
alignment system using genetic algorithms," Proc. 6th Int. Conf. on
Artificial Evolution, pp. 223-234, 2003.
[19] ÔÇöÔÇö, "Automatic optical fiber alignment system using genetic algorithms,"
NASA/ESA Conference on Adaptive Hardware and Systems,
2006.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50272", author = "Marc Landry and Azeddine Kaddouri and Yassine Bouslimani and Mohsen Ghribi", title = "Application of Particle Swarm Optimization Technique for an Optical Fiber Alignment System", abstract = "In this paper, a new alignment method based on the particle swarm optimization (PSO) technique is presented. The PSO algorithm is used for locating the optimal coupling position with the highest optical power with three-degrees of freedom alignment. This algorithm gives an interesting results without a need to go thru the complex mathematical modeling of the alignment system. The proposed algorithm is validated considering practical tests considering the alignment of two Single Mode Fibers (SMF) and the alignment of SMF and PCF fibers.
", keywords = "Particle-swarm optimization, optical fiber, automatic alignment.", volume = "6", number = "1", pages = "17-5", }
