Sintering Process State Control

Lead and Zinc is widely used in many industry fields, such as military industry, electronic industry and etc. As the main material of Lead-Zinc Imperial Smelting Process, the agglomerate which is produced by sintering process is very important to the quality and quantity of Lead and Zinc production.The states are the reflection of the sintering process. To stabilize and optimize the sintering process state can improve the quantity and quality of the agglomerate. Based on the analysis of sintering process mechanism, we learn that the control of sintering process state is vital to the quantity and quality of agglomerate. To deal with the control problems of strong nonlinearity, long time delay and uncertainty, a fuzzy expert control method based on fuzzy T-S predictive model for permeability and a fuzzy predictive control method for burning through point are proposed.The permeability is influenced by many factors. However, the operation parameter can be used to control these states is limited. The description and judgment of permeability is fuzzy, which makes the control of permeability much difficulty. To deal with these control problems, a fuzzy T-S predictive model of permeability is established. Then, based on the prediction of permeability, a fuzzy expert control method is proposed.Based on some features in Lead-Zinc sintering process, such as time-delay, nonlinearity and uncertainty, a fuzzy predictive control method for burning through point is proposed. First, to deal with the uncertainty in Lead-Zinc sintering process, a fuzzy T-S model for burning through point is established based on the piecewise linearization characteristics between burning through point and sinter strand velocity. Then, the model predictive controller is designed based on the global model obtained by dynamic linearization method.The simulation results illustrate the effectiveness of the control methods proposed for sintering process state. The fuzzy expert control method for permeability can stabilize the permeability and track the permeability set point effectively. The fuzzy T-S model is much more precise than the neural network model for burning through point based on process parameters. The rise time and regulating time of fuzzy predictive control method are both much shorter than those by using fuzzy control method for burning through point in Lead-Zinc sintering process.