Application research on foam glass kiln temperature control model and strategy

作者：Du X J^*; Shi S T

来源：Information Technology Journal, 2013, 12(23): 7803-7808.

DOI：10.3923/itj.2013.7803.7808

• Application research
• Clonal selection algorithms
• Complex control
• Foam glass
• Large time delay
• Optimized Fuzzy Neural Network (OFNN)
• Temperature control models
• Working mechanisms

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.

• 出版日期2013