Parameters Turning of the Active-Disturbance Rejection Controller Based on RBF Neural Network

摘要：

The Active-disturbance rejection control (ADRC) has the advantage of strong robustness, anti-interference capability, and it does not rely on the ac-curate math model of controlled plant. But the parameter self-turning of ADRC isnt as easy as PID controller because there are more parameters to turn in ADRC. In this paper the parameters are self-turning by the Radial Basis Func-tion (RBF) Neural Network. The results of the simulation indicate that the controller has good anti-interference capability and fast response. The robustness of the system is improved.

关键词： Active-Disturbance Rejection Control (ADRC) Radial Basis Func-tion (RBF) Robustness.

作者: Baifen Liu Ying Gao

作者单位: School of Electronic and Electrical Engineering East China Jiaotong University Nanchang, Jiangxi, Ch School of Basic Sciences East China Jiaotong University Nanchang, Jiangxi, China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 260-267

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）