Optimum Harmonic Elimination Control Method for Multilevel Inverters Using Artificial Neural Network

摘要：

In this paper, an artificial neural network is applied to estimate the optimum switching angles of cas-caded multilevel inverter which eliminates specified lower order harmonics while maintaining the re-quired fundamental voltage. This technique can be applied to multilevel inverters with any number of levels if the switching angles change continuously versus modulation index. As an example, in this pa-per a seven-level inverter is considered and neural network is trained with the optimum switching an-gles that achieved by iterative method. After that a large and memory-demanding look-up table re-placed with trained neural network to generate the switching angles for given modulation index and can be used to estimate continuously optimum switching angles which eliminate the fifth and seventh harmonics.

作者: S.H.Hosseini H.Taghizadeh H.Latafat K.Razi

作者单位: Center of Excellence for Mechatronics, University of Tabriz, Tabriz, Iran Faculty of Elec.And Comp.Eng., University of Tabriz, Tabriz, Iran

会议类型: 国际会议

会议名称: PCIM China 2007(International Conference Power Electronics)(2007年中国电力电子技术国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2007-03-21（万方平台首次上网日期，不代表论文的发表时间）