An Adaptive Control Method based on Fuzzy Neural Networks for the Sintering Process

The sintering process possesses strong nonlinear, strong coupling, time-varying and time-delay characters. In this paper, an adaptive control method based on fuzzy neural network is proposed by integrating adaptive control, neural networks and fuzzy control, and has been used to control the burning through point in the sintering process. The fuzzy control rules are reflected in the neural network, and can be obtained by self-learning of neural network. An identification model is used to identify the dynamic characters of the sintering process on-line, and improves the ability of control precision and self-adaptability. The results of actual runs show the effectiveness of the proposed method.