Application of Fuzzy Neural Network Controller for Cement Rotary Kiln Control System

Zeng Tao Xue; Zheng Li

doi:10.4028/www.scientific.net/AMR.457-458.531

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 457-458Application of Fuzzy Neural Network Controller for...

Application of Fuzzy Neural Network Controller for Cement Rotary Kiln Control System

Abstract:

This paper presents the design and application of fuzzy neural network control system for the rotary cement kiln system. Due to the dynamic characteristics and reaction process parameters are with features of large inertia, pure hysteresis, nonlinearity and strong coupling, the fuzzy neural network controller combining both the advantages of neural network and fuzzy control was applied. The fuzzy neural network is an adaptive control process whose parameters can be adjusted by learning algorithms automatically which is aimed to eliminate the shortcomings of conventional control methods. The main control system structure includes mainly the pressure control loop, the burning zone control loop and the back-end of kiln temperature control loop. Simulation results show the effectiveness of the control scheme with satisfied dynamic performances on response time and overshoot.

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Periodical:

Advanced Materials Research (Volumes 457-458)

Pages:

531-535

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.457-458.531

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Online since:

January 2012

Authors:

Zeng Tao Xue, Zheng Li

Keywords:

Adaptive, Cement-Rotary Kiln, Controller Design, Fuzzy Neural Network (FNN)

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References

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