基于闭环系统动态特征的自整定PI控制器  

Self-tuning PI controller based on dynamic characteristics of closed-loop system

作　　者：王强[1] 宋文忠[1] 达飞鹏[1] 

机构地区：[1]东南大学自动化研究所,南京210096

出　　处：《控制与决策》2008年第4期425-430,共6页Control and Decision

摘　　要：为了满足时变对象自适应控制的需要,根据闭环系统主导极点的原理,提出了能够表示不同类型闭环系统的三阶标准化闭环模型.利用标准化模型在线辨识闭环系统,并从中提取3个能够表征闭环系统动态性能的特征量;然后利用神经网络建立闭环系统特征与对象参数变化率之间的关系.通过将控制器与对象的参数集结,根据对象参数变化率来整定PI控制器.在不同条件下的仿真说明所提方法的有效性和鲁棒性.To design adaptive controllers for time-varying processes, a normalized third order closed-loop model which can represent different types of closed-loop systems is2developed based on the principle of dominant poles of closedloop system. Closed-loop system can be identified on-line by using normalized third order closed-loop model, and dynamics of closed-loop system can be described by three characteristic parameters which are extracted from the normalized third order closed-loop model. Then a neural network is utilized to derive the relationship between the characteristic parameters and the varying rate of plant parameters, which can be used to adjust the parameters of PI controller by aggregating the parameters of controller and plant. Several simulations under different conditions show the effectiveness and robustness of the proposed method.

关 键 词：闭环模型 主导极点 参数集结 神经网络 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]