X.J. DU
College of Electrical and Information Engineering, Lanzhou University of Technology, 730050 Lanzhou, China
S.T. SHI
China Energy Engineering Group Co. Ltd., 100029 Beijing, China
ABSTRACT
Foam glass production process is a typical nonlinear, large time delay, large inertia, strong cross-coupling, time-varying and complex control object. In this study, a new temperature control strategy is proposed by analyzing the working mechanism of the kiln and the temperature control problem in it. In the application, the Optimized Fuzzy Neural Network (OFNN) is applied to model the foam glass kiln and its weights and threshold value of the neural network are optimized by the Clonal Selection Algorithm (CSA) of the immune system theory. The structure of the controller is modified at any time in the process of production according to the temperature output error and its aim is to achieve the most stable temperature control of the foam glass production process in the kilns. The application of the model in the control system is successful and effective to improve the glass product quality.
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How to cite this article
X.J. DU and S.T. SHI, 2013. Application Research on Foam Glass Kiln Temperature Control Model and Strategy. Information Technology Journal, 12: 7803-7808.
DOI: 10.3923/itj.2013.7803.7808
URL: https://scialert.net/abstract/?doi=itj.2013.7803.7808
DOI: 10.3923/itj.2013.7803.7808
URL: https://scialert.net/abstract/?doi=itj.2013.7803.7808
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