Application of Fuzzy Smith Predictive Control in Mill Load

Jie Zhang; Jian Min  Wang; Zhi Gang Yang; Yan Jiao Li

doi:10.4028/www.scientific.net/AMM.385-386.831

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Application of Fuzzy Smith Predictive Control in...

Application of Fuzzy Smith Predictive Control in Mill Load

Abstract:

Grinding-classification process is key links in beneficiation production; the mill load control due to the presence of large inertia lag problem, so rely on the conventional PID control is difficult to achieve the expected control effect. Based on the conventional PID control, combined the Fuzzy control and the Smith predictive control, putting forward a kind of Fuzzy+Smith+PID control method. Through MATLAB simulation study shows that, compared with the conventional PID control, the new control method has the advantages of short regulating time, small overshoot, high control precision and no steady state error.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

831-834

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.831

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Online since:

August 2013

Authors:

Jie Zhang, Jian Min Wang, Zhi Gang Yang, Yan Jiao Li

Keywords:

Fuzzy Control, Large Inertia Lag, Mill Load, PID Control, Smith Predictive Control

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References

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