Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-20T00:39:09.707Z Has data issue: false hasContentIssue false

Modeling and Validation of Sensor and Actuator Dynamics for, And Real-Time Feedback Control of Thermal Chlorine Etching of Gallium Arsenide

Published online by Cambridge University Press:  10 February 2011

I. G. Rosen
Affiliation:
Center for the Intelligent Manufacturing of Semiconductors (CIMOS)University of Southern California, Los Angeles, CA 90089 USA
T. Parent
Affiliation:
Center for the Intelligent Manufacturing of Semiconductors (CIMOS)University of Southern California, Los Angeles, CA 90089 USA
R. Mancera
Affiliation:
Center for the Intelligent Manufacturing of Semiconductors (CIMOS)University of Southern California, Los Angeles, CA 90089 USA
P. Chen
Affiliation:
Center for the Intelligent Manufacturing of Semiconductors (CIMOS)University of Southern California, Los Angeles, CA 90089 USA
A. Madhukar
Affiliation:
Center for the Intelligent Manufacturing of Semiconductors (CIMOS)University of Southern California, Los Angeles, CA 90089 USA
Get access

Abstract

A dynamic model for the simulation of thermal chlorine etching of gallium arsenide is developed. The primary motivation for the development of the model is the design and testing of real time feedback controllers which rely upon in-situ optical measurements of etch depth obtained via spectroscopic ellipsometry. Unmeasurable parameters which appear in the model are identified, and the model is validated using experimental data. A linear-quadratic controller based on our model is designed and tested.

Type
Research Article
Copyright
Copyright © Materials Research Society 1999

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1 Butler, S. W., Stefani, J., Sullivan, M., Maung, S., Barna, G. and Henck, S., J. Vac. Sci. Tech. 4 (12), 911 (1994).Google Scholar
2 Duncan, W. M. and Henck, S. A., Appl. Surf. Sci. 63, 916 (1993).10.1016/0169-4332(93)90056-HGoogle Scholar
3 Rosen, I. G., Parent, T., Mancera, R., Chen, P. and Madhukar, A., 1999, Math. and Comp. Modelling (submitted).Google Scholar
4 Kwakernaak, Huibert and Sivan, Raphael, Linear Optimal Control Systems, (Wiley Inter-science, New York, 1972).Google Scholar