Title :
Advanced packaging automation for opto-electronic systems
Author :
Bhat, Shubham K. ; Kurzweg, Timothy P. ; Guez, Allon
Abstract :
In this paper, we present a learning control algorithm used in our research of advanced opto-electronic automation, which yields high performance, low cost optoelectronic alignment and packaging through the use of intelligent control theory and system-level modeling. The learning loop technique is activated at a lower sampling frequency for specific and appropriate tasks, to improve the knowledge based control model. Our automation technique is based on constructing 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. This model can be updated for increased accuracy through the learning loop.
Keywords :
assembling; feedforward; intelligent control; learning (artificial intelligence); micro-optics; micromechanical devices; optical control; optoelectronic devices; packaging; process control; a priori knowledge based model; advanced packaging automation; assembled package; automation technique; feed-forward loop; intelligent control theory; knowledge based control model; learning control algorithm; learning loop; optical microsystems; optical power propagation characteristics; optoelectronic alignment; optoelectronic systems; piece-wise linear inverse model; system-level modeling; Assembly; Automatic control; Automation; Costs; Frequency; Intelligent control; Optical propagation; Packaging; Power system modeling; Sampling methods;
Conference_Titel :
Lightwave Technologies in Instrumentation and Measurement Conference, 2004. Proceedings of the
Print_ISBN :
0-7803-8722-8
DOI :
10.1109/LTIMC.2004.1370981