The Research on Self-Adaptive Fuzzy PID Controller

Bin Liu; Gang Yao; Xiao Bing Xiao; Xu Sheng Yin

doi:10.4028/www.scientific.net/AMM.373-375.1462

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375The Research on Self-Adaptive Fuzzy PID Controller

The Research on Self-Adaptive Fuzzy PID Controller

Abstract:

The parameters of the traditional proportional-integral-derivative (PID) controller are hard to automatically adjust when the controlled object changes, which controls ineffective for time-varying, nonlinear system. Combine the fuzzy control and PID control, and use self-adaptive fuzzy control to achieve self-tuning PID parameters online. Using matlab simulation system, the results show that the self-adaptive fuzzy PID control effects have been improved than the conventional PID control.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

1462-1465

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.1462

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Online since:

August 2013

Authors:

Bin Liu*, Gang Yao, Xiao Bing Xiao, Xu Sheng Yin

Keywords:

Adaptive Fuzzy Control, Membership Function, PID

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* - Corresponding Author

References

[1] Sun Zengqi. Intelligent Control Theory and Technology. ( Beijing: Tsinghua University Press, 2000).

Google Scholar

[2] Kim J, zeigler B p. Designing Fuzzy Logic Controllers Using a Multiresolutional search Paradigm. IEEE Trans Fuzzy Systems, 4(3): 213~226(1996).

DOI: 10.1109/91.531766

Google Scholar

[3] Li, H.L.: Fuzzy self-adaptive PID control for temperature of resistance furnace. J. Journal of JILIN Institute of chemical technology. 2: 66-67(2007).

Google Scholar

[4] Kosko B. Neural Networks and Fuzzy Systems. Englewood Cliffs: Prentice-Hall, 339-361(1992).

Google Scholar

[5] Mann, G.K.I., Hu B. G and Gosine, R. G Analysis of direct action fuzzy PID controller structures. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 29(3): 371~388 (1999).

DOI: 10.1109/3477.764871

Google Scholar

[6] Ying H, Siler W, Buckley J J. Fuzzy control theory: A nonlinear case. Automatica. 26: 513~520 (1990).

DOI: 10.1016/0005-1098(90)90022-a

Google Scholar