模糊预测函数控制在水泥回转窑分解炉温控系统中的应用研究

FUZZY PREDICTIVE FUNCTIONAL CONTROL STRATEGY FOR DECOMPOSING FURNACE TEMPERATURE SYSTEM OF CEMENT ROTARY KILN

通过对水泥回转窑系统中预分解炉温度控制回路的特性分析 ,提出一种基于模糊模型的增量型预测函数控制算法 ,根据生料流量的波动来修正相应的预测函数控制律 .并以Honeywell公司的Plantscape集散控制系统为平台 ,开发了实时控制软件 .实际应用表明对存在大迟后和参数时变的水泥回转窑系统 。

A new fuzzy predictive control method is proposed in this paper for the decomposing furnace in cement rotary kiln system. A Takagi-Sugeno fuzzy model for the decomposing furnace is established, which merges several linear models together with fuzzy logic. The parameters of fuzzy model can be modified, depending on the flow of raw material. Based on the dynamic fuzzy model, an incremental predictive functional control arithmetic is developed to control the decomposing furnace temperature, improving the robustness of the control system without adding computational load. Real time control software of this arithmetic has been developed on the platform of Plantscape discrete control system of Honeywell Corporation. Application results exhibit the superiority of the proposed method over conventional ones even on the condition of existing large delay and time-varying parameter. The cement decomposing rate is improved from 81.5% to 89.1%, and the control precision of the decomposing furnace temperature is ensured within ±10°C.