Temperature Uniformity Control in the Low Pressure Process Champer of the IC Equipment

Article Preview

Abstract:

The production of IC equipments requires tight control of temperature uniformity within the substrates during the vacuum deposition process chamber. Though traditional approaches such as PID control methods result in substantial improvements, but they fail in meeting the stringent requirement of less than 1°C variation to guarantee the long-term stability of the temperature. To this end, this paper describes the application of information fusion closed-loop control system.A heater structure was designed and the heating wire was divided into 3 sections. Then a multi-loop temperature coordinated control system model has been developed and the temperature heating process has been divided into five intervals. In order to achieve the desired temperature uniformity of 1°C, information fusion technology was used to predict the parameters of PID controller. Through experiments, the coordinated control system model can attaining the desired uniformity levels.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

1552-1556

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jiraphon Srisertpol and Supot Phungpimai, Closed-loop Identification of Infrared Oven in HDD Manufacturing Process, Proceedings of the 2009 Chinese Control and Decision Conference, 2009,pp.2396-2400.

DOI: 10.1109/ccdc.2009.5192578

Google Scholar

[2] K. El-Awady, C. D. Schaper, and T. Kailath, "Programmable thermal processing module for semiconductor substrates," IEEE Trans. Control Technol,vol.12, no.4,p.493–509,July. 2004.

DOI: 10.1109/tcst.2004.824775

Google Scholar

[3] A. Tay, W. K. Ho, A. P. Loh, K. W. Lim, W. W. Tan, and C. D. Schaper, "Integrated bake/chill module with temperature measurement for photoresist processing," IEEE Trans. Semicond. Manuf, vol. 17,no. 2, p.231–242, May 2004.

DOI: 10.1109/tsm.2004.826959

Google Scholar

[4] Guo Run qiu, Wang Xiao hong.The Research on Temperature Autocontrol Based on the Immune Feed back Mechanism [J]. Journal of Xidian University, 2003, 30(6): 7172721.

Google Scholar

[5] Yuan H B. Research on neural network PID control with application to heavy-duty wheeled vehicle steering system [J].Journal of System Simulation, 2005, 17(5): 1185-1191.

Google Scholar

[6] Liu Y H, Li S M. Single neuron PID control based on dynamic RBF neural network on1ine identification[J].Journal of System Simulation, 2006, 18(2): 804-808.

Google Scholar

[7] Song Wenlong, Cao Jun. Approach to controlling the temperature of drying kiln using feedback-error-learning based adaptive inverse control[J]. Transactions of the CSAE, 2006, 22(3): 95-98. (in Chinese with English abstract).

Google Scholar

[8] Ling Yun,Liu Yinghui,Wang Bing.Design of fuzzy control system of vacuum sintering furnace based on S7-200 PLC[J].Electrical Automation,2007,29( 5) : 21-23. ( in Chinese)

Google Scholar

[9] Changhoon Kima, Jae H Chunga,Daehie Hongb. Coordination control of an active pneumatic deburring tool [J].Robotics and Computer-Integrated Manufacturing,2008,24( 3) : 462-471.

DOI: 10.1016/j.rcim.2007.04.003

Google Scholar