ON-LINE ADAPTIVE IDENTIFICATION AND CANCELATION OF PERIODIC DISTURBANCE WITH UNKNOWN PARAMETER

摘要：

An adaptive algorithm for learning identification and rejection of quasi periodic disturbances is proposed in this paper. It is based on the estimation of the amplitude of two components of the perturbation that are in phase quadrature to each other and then cancels it. The frequency analysis and the parameter design of the algorithm are also discussed. The ability of the algorithm to reject quasiperiodic disturbances with slowly varying frequencies is shown through simulation and experimental results.

关键词： unknown frequency identification adaptive algorithm quasi periodic disturbances rejection

作者: Yulin XU Wanmi CHEN Baiquan LU Xin LI

作者单位: School of Mechatronics Engineering and Automation,Shanghai University,Shanghai,China

会议类型: 国际会议

会议名称: 2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）