Design of Self-Regulating Fuzzy Control System for Vacuum Sintering Furnace

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Abstract:

Although the traditional PID controller is widely used in many practical application fields, it’s unsuitable for the control of the complex plant. The powder metallurgy sintering process had such characteristics as nonlinearity and large delay, etc., and it’s difficult for the conventional PID controller to meet the control requirements. According to these traits, we used a parameter self-adjusting fuzzy controller to control the heating temperature of the vacuum sintering furnace. In practice it shows that every quality index and control effect of this scheme is better than that of traditional PID controller.

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140-144

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October 2009

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© 2009 Trans Tech Publications Ltd. All Rights Reserved

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[1] T. Takagi and M. Sugeno: IEEE Trans. Systems Man Cybernet, Vol. 15 (1985) No. 1, pp.116-132.

Google Scholar

[2] L.J. Zhang and P. Han:. Computer Simulation, No. 3 (1992), pp.9-19. (In Chinese).

Google Scholar

[3] W. Hu, F.Z. Wang and F.S. Yu: Journal of Jiaozuo Technical Institute, Vol. 20 (2001) No. 4, pp.273-277. (In Chinese).

Google Scholar

[4] W.L. Sun: Study on the Heating System Control (MS., North China Electric Power University, China 2003), pp.20-29. (In Chinese).

Google Scholar

[5] C.J. Zhang and Y.H. Wang: Automatic Instruments, Vol. 23 (2002) No. 7, pp.21-23. (In Chinese).

Google Scholar

[6] J.N. Lygouras, P.N. Botsaris, J. Vourvoulakis and Kodogiannis: Applied Energy, Vol. 84 (2007) No. 12, pp.1305-1318.

DOI: 10.1016/j.apenergy.2006.10.002

Google Scholar

[7] B.G. Hu and H. Ying: Journal of Automation, Vol. 27 (2001) No. 4, pp.567-584. (In Chinese).

Google Scholar

[8] L. Ma and Z.X. Cai: Journal of Zhengzhou Light Industry College, Vol. 12 (1997) No. 2, pp.1-4. (In Chinese).

Google Scholar

[9] C. Robert: Computational Intelligence and Applications, 1999, pp.187-192.

Google Scholar

[10] H. Xia and J.C. Song: Survey of Chemical Industry, Vol. 11 (2003) No. 7, pp.1-5. (In Chinese).

Google Scholar

[11] L. Reznik, O. Ghanayem and A. Bourmistrov: Engineering Application of Artificial Intelligence, 2000, pp.419-430.

Google Scholar

[12] S.Q. Liu and X.P. Liu: Control Engineering, Vol. 10 (2003) No. 1, pp.51-52.

Google Scholar