基于FCM聚类算法的自适应逆控制器设计  

Adaptive Inverse Controller Design Based on FCM Clustering Algorithm

作　　者：明飞 MING Fei(Shanghai Electric Power Station Engineering Co.)

机构地区：[1]上海电气电站工程公司

出　　处：《化工自动化及仪表》2020年第4期299-302,共4页Control and Instruments in Chemical Industry

摘　　要：针对自适应逆控制器难以获得对象逆模型的问题,提出一种基于FCM聚类算法的自适应逆控制器设计算法。首先利用模糊C均值(FCM)聚类算法建立对象的逆模型,该逆模型采用T-S模糊模型。在逆模型的基础上,设计自适应逆控制器,逆控制器的参数通过最小均方(LMS)算法进行在线调整。仿真试验表明:基于FCM聚类算法的自适应逆控制器具有较好的控制效果。Considering adaptive inverse controller’s difficulty in obtaining object’s inverse model, an adaptive inverse controller design algorithm based on FCM clustering algorithm was proposed. Firstly, having fuzzy c-means(FCM) clustering algorithm employed to establish inverse model of the object, which adopts T-S fuzzy model;and based on the inverse model, having an adaptive inverse controller designed and its parameters adjusted online by the least mean square(LMS) algorithm. Simulation results showed that, the adaptive inverse controller based on FCM clustering has good control effect.

关 键 词：自适应逆控制 FCM聚类算法 T-S模糊模型 最小均方算法 

分 类 号：TQ056.22[化学工程]