Abstract
In order to control the temperature on the wafer in a rapid thermal processing system, we develop a reduced model of the dynamic based on the spectrum of the system operator and then develop a sliding mode controller for the system. The dominant modes of the system are extracted through the analysis of the spectrum. Galerkin’s method is utilized to construct the reduced model of the system with the dominant modes as the trial functions. Then, sliding mode controller is designed based on the reduced model. Simulations are performed by comparing the high-order model with the proposed reduced model and applying the control scheme to the system. Simulation results show that the proposed reduced model has relatively small order but the same ability to model the process and the sliding mode control actions can heat the wafer to a desired temperature with a uniform distribution.
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Xiao, T., Li, HX. (2015). Model Reduction for Sliding Mode Control of Rapid Thermal Processing System. In: Yu, X., Ă–nder Efe, M. (eds) Recent Advances in Sliding Modes: From Control to Intelligent Mechatronics. Studies in Systems, Decision and Control, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-18290-2_19
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DOI: https://doi.org/10.1007/978-3-319-18290-2_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18289-6
Online ISBN: 978-3-319-18290-2
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