智能控制在烘丝机中的应用  

Application of Intelligent Control in Cut Tobacco Drier

作　　者：任宏程[1] 丁钟 张勇[1] 向凤红[1] 

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明市环城东路50号650051 [2]红河卷烟厂

出　　处：《烟草科技》2007年第12期17-21,共5页Tobacco Science & Technology

摘　　要：由于烘丝机传统PID控制方法不能解决快速性与准确性的矛盾,且不能适应系统参数的变化等,设计了融合模糊控制、仿人工智能控制、Smith控制和前馈-反馈控制的智能控制策略应用于烘丝机系统。通过证明烘丝机在额定工作状态附近运行时可近似为线性系统,引入了前馈控制;通过建立烘丝过程数学模型,确定了烘丝机的传递函数,并引入了Smith控制方法;根据数学模型分析了PID控制方式应用于烘丝机的不足之处,并使用Matlab仿真对智能控制策略和PID控制的稳定性和控制性进行了比较。结果显示,智能控制策略对被控对象参数变化适应能力强,控制效果好,对扰动、滞后有较好的补偿作用,稳态精度高等。The traditional PID control in cut tobacco drier could not resolve the contradiction between velocity and veracity and was unable to adapt to the variations of system parameters, therefore, the intelligent control plan which integrated fuzzy control, artificial simulation intelligent control, Smith control and feedforward-feedback control was applied to cut tobacco drier. It was proved that the cut tobacco drier was close to a linear system when running nearby its rated working status, the feedforward control was introduced. By establishing the mathematic model of cut tobacco drying process, the transfer function of the drier was determined and Smith control method was also introduced. Basing on the mathematic model, the shortcomings of PID control mode applied in the drier were analyzed, and the stability and controllability intelligent plan and PID control were compared by means of Matlab simulation. The results showed that the intelligent control plan featured better adaptability to the parameter variations of controlled object, better control effect, better compensation effect to disturbance and lag, and higher steady-state precision.

关 键 词：烘丝机 智能控制 模糊控制 PID 控制器 仿真 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]