基于模糊PID的模型参考自适应IMC汽包水位控制  

Model reference adaptive inner model-based control in boiler drum water level based on fuzzy-PID control

作　　者：李晶[1] 王旭刚[1] 

机构地区：[1]南京理工大学能源与动力工程学院,江苏南京210094

出　　处：《热力发电》2015年第2期96-100,共5页Thermal Power Generation

基　　金：中央高校基本科研专项资金资助(NUST2011YBXM25)

摘　　要：针对发电厂锅炉汽包水位具有非线性特性、存在虚假水位,且运行过程中控制系统超调量大、响应速度慢、抗干扰能力差等问题,提出了一种基于模糊推理的模型参考自适应内模控制(IMC)方法。将模糊控制方法和IMC方法相结合,采用相消法设计IMC器,根据参考模型输出与实际被控对象输出的偏差e及其变化率ec在线模糊调节PID参数。通过Simulink对基于模糊PID的模型参考自适应IMC的汽包水位控制系统进行仿真验证,并与IMC-PID的汽包水位控制系统进行对比。结果表明,基于模糊PID的模型参考自适应IMC方法自适应能力更强,抗干扰能力和鲁棒性更好,能够更好地保证水位的稳定。Against the problems of drum water level in utility boilers,such as nonlinearity and false water level,large overshoot,slow response speed and poor anti-interference ability of the control system during operation,a fuzzy inference based model reference self-adapting internal model control（IMC）method was proposed.By combining the fuzzy control with the IMC,this method uses the relative arithmetic to design the IM controller.It regulates the fuzzy adjusting PID parameters online according to the deviation e and its changing rate ec between the reference model output and the object＇s actual output.Moreover,on the basis of the Simulink platform,numerical simulation was performed to verify this drum water level control system using the above method.At last,the results were compared with that controlled by the internal model PID.The results show that,the fuzzy PID based model reference self-adaptive IMC has stronger self-adaptability,anti-interference ability and better robustness,which can guarantee the stability of the water level better.

关 键 词：锅炉 汽包水位 模糊控制 模型参考 自适应 IMC PID控制 

分 类 号：TK223.75[动力工程及工程热物理—动力机械及工程] TP273.4[自动化与计算机技术—检测技术与自动化装置]