水泥生料预分解过程热效率优化控制研究进展

Research Progress on Optimal Control of Thermal Efficiency in Cement Raw Material Pre-decomposition Process

针对新型干法水泥生产工艺中水泥生料预分解过程能耗高、热效率低的现状,分析水泥生料预分解过程数值模拟、分解炉出口温度优化设定、分解炉出口温度建模和控制的国内外研究与应用动态,提出通过建立预分解过程的热效率模型来优化分解炉出口温度的解决方案;总结比例-积分-微分控制、模糊控制、神经网络控制、模型预测控制及其组合控制算法在提高水泥生料预分解过程热效率中的应用方案,并对各方案的可行性进行分析;最后指出将热效率优化模型与模型预测控制相结合构成双层结构预测控制,更有助于提高水泥生料预分解过程的热效率。

In view of the status of high energy consumption and low thermal efficiency of cement raw material pre-decomposition process in new dry process cement production technology,the research and application trends at home and abroad of numerical simulation of cement raw material pre-decomposition process,optimal setting of outlet temperature of decomposing furnaces,modeling and control of outlet temperature of decomposition furnaces were reviewed.A solution schemes to optimize decomposing furnace outlet temperature was proposed by establishing a thermal efficiency model of pre-decomposition process.The application schemes of proportional-integral-derivative control,fuzzy control,neural network control,model predictive control,and their combined control algorithms in improving the thermal efficiency of cement raw material pre-decomposition process were summarized,and the feasibility of each scheme was analyzed.A two-layer structure predictive control combining a thermal efficiency optimization model and a model predictive control was pointed out to be more beneficial to improve the thermal efficiency of raw material pre-decomposition process.