The Hydraulic System of Intelligent Asphalt Disperser Based on Neural Network Internal Model Control

Yan Jun Zhang; Xiao Fang

doi:10.4028/www.scientific.net/AMM.541-542.1191

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 541-542The Hydraulic System of Intelligent Asphalt...

The Hydraulic System of Intelligent Asphalt Disperser Based on Neural Network Internal Model Control

Abstract:

Taking into consideration the lack of control precision of the hydraulic system of intelligent asphalt disperser, an internal model control method based on BP neural network was proposed. In this method, the ability of identification of complicated systems using neural network was combined with the feature that internal model control has low requirements on the model precision. In this way, the design of hydraulic controller of asphalt disperser can be achieved. The results show that this method has better robustness with regard to the systematic uncertainty and disturbance when compared with the PID control system, and the control effect is better, which provides a novel approach for the control of hydraulic system of intelligent asphalt disperser.

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Periodical:

Applied Mechanics and Materials (Volumes 541-542)

Pages:

1191-1197

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.541-542.1191

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Online since:

March 2014

Authors:

Yan Jun Zhang*, Xiao Fang

Keywords:

Hydraulic System, Internal Model Control, Neural Network (NN)

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* - Corresponding Author

References

[1] M. A. Shoorehdeli, H. Teshnehlab, H. A. Shoorehdeli, Velocity control of an electro hydraulic servo system, IEEE International Conference on Systems, Man and Cybernetics, Montreal, Quebec, (2007) 1536-1539.

DOI: 10.1109/icsmc.2007.4413926

Google Scholar

[2] X. Q. Shen, X. L. Wu, Hydraulic Transmission and Control, third ed., National Defense Industry Press, Beijing, (2010).

Google Scholar

[3] Z. C. Zhao, Z. Y. Liu, J. G. Zhang, Internal model control for electronic-hydraulic servo system, Opto-Electronic Engineering, 35 (2008) 1-5.

Google Scholar

[4] L. N. Xu, Neural Network Control, Harbin Institute of Technology Press, Harbin, (2003).

Google Scholar

[5] Y. Zhou, Q. W. Chen, X. B. Wu and W. L. Hu, Internal model control of nonlinear system using fuzzy neural networks, Journal of Southeast University (Natural Science Edition), 33 (2003) 41-45.

Google Scholar

[6] M. M. Awais, Application of internal model control methods to industrial combustion, Applied Soft Computing, 5 (2005) 223-233.

DOI: 10.1016/j.asoc.2004.07.001

Google Scholar

[7] J. F. Qiao, Y. M. Sun, P. Mao. Internal model control method based on neural network and its application, Journal of Tianjin University (Natural Science and Engineering Technology Edition), 33 (2000) 25-28.

Google Scholar