Single Neuron ADRC Control Based on RBF Neural Network On-line Identification

被引：0

作者：

Su Si-Xian ^{[1
]}

Yang Hui-Zhong ^{[1
]}

机构：

[1] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China

来源：

2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年

关键词：

RBF neural network; Single neuron; Active Disturbance Rejection Control (ADRC); Nonlinear state error feedback;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Arming at the problem of over many parameters to be turned in the active disturbance rejection controller (ADRC), a self-adaptive single neuron Active Disturbance Rejection Control (ADRC) is proposed based on RBF neural network on-line identification, which identifies the Jacobian matrix of controlled object by means of RBF neural network identifier and acquires on-line tuning information of ADRC parameters. The self-tuning of the controller parameters is implemented by the single neuron controller, and the intelligent control of the system is achieved. The simulation result indicates that the proposed control system greatly reduces the adjusted parameter and possesses the advantages of high precision, great adaptability and robustness.

引用

页码：3669 / 3672

页数：4