Abstract
In this paper, a double loops system, which based on the property of the large delay and time-varying of sintering process, is proposed to solve a challenging problem for building a system model of dynamic vary structure and vary weights from the given input and output data to predict the burning through point (BTP). A position track fuzzy controller is used to adjust the speed of sinter in outer loop, and an optimum Self-organizing Genetic Algorithms Neural Networks is also presented. The comparison of the actual process and the simulative process by OSGANN demonstrate that the performance and capability of the proposed system are superior.
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Cheng, W. (2010). Modeling of Real-Time Double Loops System in Predicting Sintering’s BTP. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15853-7_3
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DOI: https://doi.org/10.1007/978-3-642-15853-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15852-0
Online ISBN: 978-3-642-15853-7
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