改进型模糊控制器在工业过程中的应用  

The Application of Improved Fuzzy Controller to Industrial Processes

作　　者：杨赛[1] 任金霞[1] 

机构地区：[1]江西理工大学机电工程学院,江西赣州341000

出　　处：《江西理工大学学报》2009年第4期26-28,共3页Journal of Jiangxi University of Science and Technology

摘　　要：采用常规PID控制很难实现对大滞后、非线性等难以建立精确数学模型的被控对象的良好控制.模糊控制不依赖于对象的数学模型,特别适合于非线性系统的控制.由于常规模糊控制器会引起系统的稳态误差,引入积分环节改进常规模糊控制器.通过SIMULINK仿真实验表明,该控制方法满足二阶非线性控制对象的控制要求,并取得了良好的控制效果.The PID algorithm can＇t control the nonlinear plant with big time-delay which can＇t be described accurately by mathematics model. Fuzzy control need not rely on the plant＇s accurate mathematics model, and can be controlled particularly well in nonlinear systems. But because the standard controller will arouse larger state-errors, an integrator is introduced to improve standard fuzzy controller. The SIMULINK simulation indicates that this method meets the second-order plant＇ s performance index, and obtains good control effects.

关 键 词：PID控制 模糊控制 积分环节 非线性系统 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]