KEYWORDS: Control systems, Optical fibers, Packaging, 3D modeling, Optical alignment, Systems modeling, Process control, Motion controllers, Semiconductor lasers, Optoelectronic packaging
In this paper, we present our most recent theory and the experimental setup to verify our research into an advanced automation technique that yields high performance, low cost optoelectronic alignment and packaging through the use of intelligent control theory and system-level modeling. Our approach is to build an a priori knowledge based model, specific to the assembled package's optical power propagation characteristics. From this model, a piece-wise linear inverse model is created and used in the "feed-forward" loop. If accurate models are determined, perfect tracking can be achieved. In addition to this feed-forward model, our controller is designed with feedback components, along with the inclusion of a built-in optical power sensor. We will also introduce the test bed that we have developed to verify our control loop algorithm and present initial results.
In this paper, we present an automation technique that yields high performance, low cost optoelectronic alignment and packaging through the use of intelligent control theory and system-level modeling. Our control loop design is based on model predictive control, previously popularized in process and other control industries. Our approach is to build an a priori knowledge model, specific to the assembled package’s optical power propagation characteristics, and use this to set the initial "feed-forward" conditions of the automation system. In addition to this feed-forward model, our controller is designed with feedback components, along with the inclusion of a built in optical power sensor. The optical modeling is performed with the rigorous scalar Rayleigh-Sommerfeld formulation, efficiently solved using an angular spectrum technique. One of the benefits of using our knowledge based control technique is that the efficiency of the automation process can be increased, as the number of alignment steps can be greatly reduced. An additional benefit of our technique is that it can reduce the possibility that attachment between optical components will occur at local power maximums, instead of the global maximum of the power distribution. Therefore, our technique improves system performance, while reducing the overall cost of the automation process.
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