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Learning identification control for model-based optoelectronic packaging
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1182
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| Title: | Learning identification control for model-based optoelectronic packaging |
| Authors: | Kurzweg, Timothy P.
Bhat, Shubham Krishna
Guez, Allon |
| Keywords: | Alignment
Learning Model Identification
Optical Automation
Optical Microsystems
Packaging |
| Issue Date: | Sep-2006 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Citation: | IEEE Journal Of Selected Topics In Quantum Electronics, 12(5): 945-951. |
| Abstract: | In this paper, we present a learning control algorithm
for the packaging automation of optoelectronic systems. This automation
provides high performance, low-cost alignment and packaging
through the use of a model-based control theory and systemlevel
modeling. The approach is to build an a priori model, specific
to the assembled package’s optical power propagation characteristics.
From this model, an inverse model is created and used in
the “feedforward” loop. In addition to this feedforward model, the
controller is designed with feedback components, along with the
inclusion of a built-in optical power sensor. We introduce a learning
technique, which is activated at a lower sampling frequency
for specific and appropriate tasks, to improve the model used in
the model-based control. Initial results are presented from an experimental
test bed that is used to verify the control and learning
algorithms. |
| URI: | http://hdl.handle.net/1860/1182
http://dx.doi.org/10.1109/JSTQE.2006.881875 |
| Appears in Collections: | Faculty Research and Publications (ECE)
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