Online Parameter Identification of Synchronous Machine under Small Disturbance

摘要：

　　The paper studies the online parameter identification technique of a synchronous machine,constructs its online parameter acquisition system,establishes its proper circuit model and state equation,uses maximum likelihood algorithm to identify the linear parameters of the machine under light load and low excitation,recognizes and modifies the saturation parameters with the magnetic circuit in saturation,inspects and revises the parameters and model in the big disturbance,and verifies the validity of the proposed method by the experiment and simulation.

关键词： Online Parameter identification Synchronous machine Saturation parameters

作者: Hao Xiong Guangwei Meng Shaoguang Jiao Libing Zhou

作者单位: Naval University of Engineering,Wuhan,430033,China;Huazhong University of Science and Technology,Wuh Naval University of Engineering,Wuhan,430033,China Huazhong University of Science and Technology,Wuhan,430074,China

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1536-1539

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）