A new temperature control strategy for foam glass kiln and its application

In this paper, a new temperature control strategy is proposed by analyzing the working mechanism of the kiln and the temperature control problem in it. First of all, fuzzy neural network is applied to model the foam glass kiln, and optimize weights and threshold value of the neural network with the aid of the Clonal Selection Algorithm. Single and changeless control strategy is no longer applied in the controller design. 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 best optimal control of the foam glass kiln. The application of the model in the control system is successful and effective. Good control effect makes the product quality has been greatly improved.