Control Technology of Parallel Active Filter based on p-q Theory and Filtering Technology of RBF Neural Network

摘要：

This paper mainly aims at the control strategy of parallel active filter, an analytical method is proposed to make the filtering technology based on RBF neural network combine with p-q theory. The simulation example proves this method is feasible for controlling in parallel active filter. Because of this method is efficient and easily realized, it provides some new approaches to design parallel active filter.

关键词： RBF neural network Active filter Instantaneous power

作者: WANG Zhanshan ZHAO Yongbin ZHANG Enlin Lun Shuxian

作者单位: School of Information Science and Engineering, Northeastern University, Shenyang, 110004 College of Engineering, Bohai University, Jinzhou 121000

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1889-1892

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）