Novel fiber optic alignment strategy using Hamiltonian algorithm and Matlab/Simulink

Rong Zhang; Frank G. Shi

doi:10.1117/1.1586706

1 August 2003 Novel fiber optic alignment strategy using Hamiltonian algorithm and Matlab/Simulink

Rong Zhang, Frank G. Shi

Optical Engineering, Vol. 42, Issue 8, (August 2003). https://doi.org/10.1117/1.1586706

An efficient and robust fiber optic alignment method for locating the optimal coupling position is critical to fiber optic packaging automation, and thus to photonics manufacturing. The often used hill-climbing type alignment method is gradient-based, 1-D "blind" searching, which is difficult for dealing with angular misalignments and the alignment of fiber arrays. This work presents a novel alignment method consisting of the Hamiltonian algorithm and Matlab/Simulink software tools. The Hamiltonian algorithm utilizes the inherent dynamic properties of the system to guide the movement of the fiber tip, and the Matlab/Simulink provides an efficient tool for solving Hamiltonian equations as well as output feedback control. Simulation results are obtained for the active alignment of single-channel fiber optic devices and multichannel-arrayed fiber optic devices, respectively. Trajectories of the searching path are demonstrated to be smooth. It is shown that time for multidegree of freedom alignment is significantly reduced compared to the conventional hill-climbing type alignment method. It is also demonstrated that, for arrayed fiber optic devices, a balanced fiber optic coupling result for all fibers can be easily reached.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Rong Zhang and Frank G. Shi "Novel fiber optic alignment strategy using Hamiltonian algorithm and Matlab/Simulink," Optical Engineering 42(8), (1 August 2003). https://doi.org/10.1117/1.1586706

Published: 1 August 2003

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available