摘要
针对水泥生产工艺,从某大型水泥厂实际生产过程中获得的整点数据中选取合适参数,建立了回转窑模型参数辨识进行数学模型。给出了新型干法水泥回转窑系统工艺流程,说明了回转窑主要参数的含义。以生料量和分解炉温度之间通过数据辨识出的模型为例,得到辨识模型拟合曲线,实现回转窑窑尾温度的模糊控制及模糊PID控制。建立模糊推理系统,得到模糊PID和模糊控制的仿真结果图。研究加入干扰信号后窑尾温度模糊控制器的控制效果。阐述了用M文件编写模糊PID控制程序的主要思想,给出了模糊PID控制及PID控制结果对比图。通过对比可以看出,模糊PID控制能快速克服扰动且超调量小,动态性能较好。
Aiming at the cement production process,appropriate parameters are selected from the whole data obtained from the actual production process of a large cement plant,and the model parameters of rotary kiln are identified and the mathematical model is established.The flow chart of the new dry cement rotary kiln system is given,and the meaning of the main parameters of the rotary kiln is explained.Taking the model identified by the data between the raw material amount and the decomposition furnace temperature as an example,the identification model fitting curve is obtained.The fuzzy control and fuzzy PID control of kiln tail temperature are realized.The fuzzy inference system is established and the simulation results of fuzzy PID and fuzzy control are obtained.The control effect of the fuzzy controller design of kiln tail temperature is studied after the interference signal is added.The main idea of writing fuzzy PID control program with M file is expounded and the comparison chart between fuzzy PID control and PID control result is given.Through the comparison,it is shown that the fuzzy PID control can overcome the disturbance quickly and the overshoot is small,and the dynamic performance is good.
作者
艾红
邵婷婷
AI Hong;SHAO Tingting(School of Automation,Beijing Information Science&Technology University,Beijing 100192,China)
出处
《自动化仪表》
CAS
2019年第1期15-19,23,共6页
Process Automation Instrumentation
基金
北京市自然科学基金资助项目(4162025)
关键词
回转窑
辨识
模型
温度
模糊控制
模型参数
窑尾温度
量化因子
Rotary kiln
Identification
Model
Temperature
Fuzzy control
Model parameters
Kiln tail temperature
Quantification factor
