摘要
大惯性大滞后对象的控制一直是理论上得到重视但又没有得到充分解决的问题。Smith预估器是用于大惯性大滞后对象的有效设计方法。但对实际过程的参数变化很敏感,对难以建立数学模型的被控对象有很大局限性。模糊控制对解决模型不确定性问题具有较好优势,将模糊控制与PID控制相结合,运用模糊推理方法,实现了PID参数的在线调整,提高了系统的控制性能。仿真结果表明,对工业过程典型近似形式一阶惯性滞后环节进行控制,与传统PID控制比较,明显改善了系统的动静态性能,且实现零超调,消除了超调量的不良影响。对一阶惯性滞后对象有很好的鲁棒性,易于实现,在工程应用领域意义重大。
Large time delay inertial objects are very common in industrial process control. Such control problem is significant in both theory and practice. Smith predictor is proved to be an effective way to deal with large time delay inertial objects, but it is sensitive to the model error. Fuzzy control possess the merits in the control of objects whose modle is difficult to get. In this paper, the self - tuning of PID controller by combining fuzzy logic controller and PID controller is made.Using fuzzy inference, ...
出处
《微计算机信息》
北大核心
2008年第10期21-23,28,共4页
Control & Automation
关键词
模糊自整定积分比例控制
仿真
一阶惯性滞后系统
鲁棒性
fuzzy self- tuning PI control
simulation
first- order time delay inertial systems
robustness
