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Mechanical Parameter Identification of Servo Systems using Robust Support Vector Regression  

Cho Kyung-Rae (영남대 전기공학과)
Seok Jul-Ki (영남대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.10, no.5, 2005 , pp. 468-480 More about this Journal
Abstract
The overall performance of AC servo system is greatly affected the uncertainties of unpredictable mechanical parameter variations and external load disturbances. To overcome this problem, it is necessary to know different parameters and load disturbances subjected to position/speed control. This paper proposes an on-line identification method of mechanical parameters/load disturbances for AC servo system using support vector regression(SVR). The experimental results demonstrate that the proposed SVR algorithm is appropriate for control of unknown servo systems even with time-varying/nonlinear parameters.
Keywords
Support vector regression; system identification; robust speed control; load torque estimator;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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