Combined with fuzzy control and OPC (OLE for Process Control) technology, electric furnace simulation of physical access to a computer was researched. A two-dimensional fuzzy controller was built adopting Matlab, with temperature difference and change rate of furnace temperature as input, and transformer' s voltage as output. The heating course of electric furnace was analyzed according to practical experience and the control rule table was made ,control rule was written,and then controller was finished. The control charts of semi-physical simulation were designed and completed in the Simulink, and namely an intelligent control system for furnace temperature was designed. Different quantization factors k1 and k2, scale factor k3 were simulated, to compare the temperature curve chart of electric furnace; reasonable factor parameters were analyzed, and then the effective control of electric furnace temperature was achieved. This system can not only save much debug time but also obtain accurate simulation result.%结合模糊控制与OPC技术,将电炉实物接入仿真计算机.利用Matlab建立一个二维模糊控制器,温差和炉温变化率为输入量,变压器电压为输出量；根据实际经验分析电炉的加热过程,制定控制规则表,写入控制规则,完成控制器；在Simulink中设计并完成半实物仿真控制图,即设计一个智能控制炉内温度的系统.对不同量化因子k1和k2、比例因子k3进行仿真,比较电炉温度曲线图,分析出较合理的因子参数,实现了对电炉炉温的有效控制.系统可节省大量的调试时间,又能获得较准确的仿真效果.
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