Analysis for SCR Control System Based on ANN

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Abstract:

Design principle of SCR control system for modern diesel engine is based on MAP which is obtained from experiments. The data of urea injection is obtained from MAP, the many experiments with different revolutions and loads are necessary. MAP from experiments is not accurate, cannot be used for all the range exactly in case of engine running conditions. Therefore, it is very difficult to design PID controller based on MAP. Moreover, the robust performance can not be achieved. To overcome these problems, the control scheme based on artificial neural network (ANN) is proposed. This controller has good robust performance and rapid adjustment. From experiments, the system using this controller can achieve good performance.

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Periodical:

Advanced Materials Research (Volumes 591-593)

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1428-1431

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Online since:

November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. L LI, S. J SHUAI, H. Y. DONG. Application of -SCR Aftertreatment System to the H D Diesel Engine Using Ethanol as a Reductant. Internal Combustion Engine Engineering, Vol. 28 (2007) No. 1, p.1. (in Chinese).

Google Scholar

[2] Seher D H E, Reichelt M, and Wickert S. Control Strategy for Emission Reduction with SCR. 2003 SAE International Truck and Bus Meeting and Exhibition (Boston, American, November 10-12, 2003). p.3362.

DOI: 10.4271/2003-01-3362

Google Scholar

[3] Zh. Zh. Zeng and Y. N. Wang. Optimal Design on FIR Digital Filters Using the Parallel Algorithm of Neural Networks. Proc. ICCCAS(Guilin, China, June 25-28, 2006). p.191.

Google Scholar

[4] Y. N. WANG. An Adptive Control Using Fuzzy Logic Neural Network and Its Application. Control Theory and Applications, Vol. 12 (1995) No. 4, p.437.

Google Scholar

[5] Zh. Zh. Zeng, Y. N. WANG, and H. Wen. Numerical Integration Based on a NeuralNetwork Parallel Algorithm. IEEE Computing in Science&Engineering, Vol. 8 (2006) No. 4, p.42.

Google Scholar