The Sintering Process Permeability, Btp Intelligent Integrated Modeling And Optimization Of Control

In the paper, an integrated modeling and optimization method for the Pb-Zn sintering process states (including permeability and Burning Through Point ) of Imperial Smelting Process (ISP) in Shaoguan Smeltery is investigated, which is to solve the prediction modeling and optimization problems of permeability and BTP. As to permeability, At first, based on empirical knowledge, the input samples space is fuzzy-classified into low-temperature subspace and high-temperature subspace on the basis of the highest temperature of the sintering machine, then corresponding two sub-models are established. Finally, the predicative model is obtained by synthesizing the two sub-models with weighting method of sample memberships. As regard to BTP, the paper presents an approach that integrates two models to predicting the BTP. The first method uses neural network to predict the BTP ; The second method uses metallurgical and control expert knowledge and skilled operator experiences of the sintering process. Two results are combined by use of optimal combination algorithm as general modeling results of the BTP. According to the actual circumstances of the Sintering Process ,an expert _religion optimal control strategy of sintering states witch regards permeability as center is advanced. Through the experts rules, the predictive results of sintering states are applied to guide the optimal control manipulation. Simulation results show that the sintering process will be stable, the productivity will be improved, the cost of the sintering process will be decreased and the quality of sintering process can be ensured if the optimal control strategy are adopted.The paper is organized as follows. Chapter 1 briefly introduced technical process of ISP Pb-Zn smelting method and pointed out the significance and necessity of the subject. Chapter 2 proposed technical knowledge of ISP sintering process and character of sintering process with emphases on present problems in sintering process control and problems studied in this paper and the whole designation framework. Chapter 3 established a distributed ANN model for predicting the permeability based on fuzzy-classification with expert rules. Chapter 4 established a integrated model witch was combined by ANN model and fuzzy logical model for predicting the BTP based on Optimal Combination Algorithm. Chapter 5 discussed the optimal control of permeability and BTP, the results of optimization were used to instruct the producing. Chapter 6 brought forward the prospect and scarcity of the project.