Smith Predictor Based Fuzzy Estimator for Uncertain Time-Delayed Systems

T.C. Kuo; Y.J. Huang; B.W. Hong; C.H. Chang; H.Y. Tseng

doi:10.4028/www.scientific.net/AMM.157-158.462

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 157-158Smith Predictor Based Fuzzy Estimator for...

Smith Predictor Based Fuzzy Estimator for Uncertain Time-Delayed Systems

Abstract:

In this paper, a novel robust control method is proposed for uncertain time-delayed systems. The objective is to guarantee system stability and robustness against modeling errors. A fuzzy estimator is developed to predict the uncertain plant time-delay. Smith predictor is exploited. An adaptive tuning law is developed to further improve the control system performance. The proposed robust control method is successfully applied to a heat exchanger control system. Simulation results show that the approach is indeed effective. System robustness as well as stability is achieved.

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Periodical:

Applied Mechanics and Materials (Volumes 157-158)

Pages:

462-465

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.157-158.462

Citation:

Cite this paper

Online since:

February 2012

Authors:

T.C. Kuo, Y.J. Huang, B.W. Hong, C.H. Chang, H.Y. Tseng

Keywords:

Fuzzy Control, Predictive Control, Smith Predictor, Time-Delayed Systems

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References

[1] T. Liu, Y. Z. Cai, D. Y. Gu, and W. D. Zhang, IEE Proceedings: Control Theory and Applications. 152, 238-246 (2005).

Google Scholar

[2] D. Ye and G. H. Yang, IET Control Theory and Applications. 1, 713-721 (2007).

Google Scholar

[3] J. Q. Huang and F. L. Lewis, IEEE Transactions on Neural Networks. 14, 377-389 (2003).

Google Scholar

[4] L. Zhang and F. Hua-Jing, Journal of the Franklin Institute. 343, 161-167 (2006).

Google Scholar

[5] L. Liu, Z. Han, and W. Li, Journal of the Franklin Institute. 347, 567-576 (2010).

Google Scholar

[6] M. R. Mataušek and A. D. Micić, IEEE Transactions on Automatic Control. 44, 1603-1606 (1999).

Google Scholar

[7] J. E. Normey-Rico and E. F. Camacho, IEE Proceedings: Control Theory and Applications. 147, 538-545 (2000).

Google Scholar

[8] L. X. Wang, Adaptive fuzzy systems and control: design and stability analysis, Prentice-Hall, Englewood Cliffs, (1994).

Google Scholar

[9] G. F. Franklin, J. D. Powell, A. Emami-Naeini, Feedback control of dynamic systems, Prentice-Hall, Englewood Cliffs, (2010).

Google Scholar