APPLICATION OF FRF ESTIMATOR BASED ON ERRORS-IN-VARIABLES MODEL IN MULTI-INPUT MULTI-OUTPUT VIBRATION CONTROL SYSTEM  

作　　者：GUAN Guangfeng CONG Dacheng HAN Junwei LI Hongren 

机构地区：[1]School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin 150001. China

出　　处：《Chinese Journal of Mechanical Engineering》2007年第4期101-105,共5页中国机械工程学报（英文版）

基　　金：This project is supported by Program for New Century Excellent Talents in University,China(No.NCET-04-0325).

摘　　要：The FRF estimator based on the errors-in-variables （EV） model of multi-input multi-output （MIMO） system is presented to reduce the bias error of FRF HI estimator. The FRF HI estimator is influenced by the noises in the inputs of the system and generates an under-estimation of the true FRF. The FRF estimator based on the EV model takes into account the errors in both the inputs and outputs of the system and would lead to more accurate FRF estimation. The FRF estimator based on the EV model is applied to the waveform replication on the 6-DOF （degree-of-freedom） hydraulic vibration table. The result shows that it is favorable to improve the control precision of the MIMO vibration control system.The FRF estimator based on the errors-in-variables （EV） model of multi-input multi-output （MIMO） system is presented to reduce the bias error of FRF HI estimator. The FRF HI estimator is influenced by the noises in the inputs of the system and generates an under-estimation of the true FRF. The FRF estimator based on the EV model takes into account the errors in both the inputs and outputs of the system and would lead to more accurate FRF estimation. The FRF estimator based on the EV model is applied to the waveform replication on the 6-DOF （degree-of-freedom） hydraulic vibration table. The result shows that it is favorable to improve the control precision of the MIMO vibration control system.

关 键 词：Multi-input multi-output（MIMO） system Errors-in-variables（EV） model 6-DOF hydraulic vibration table Waveform replication 

分 类 号：TN0[电子电信—物理电子学]