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Robust Speed Control of AC Permanent Magnet Synchronous Motor using RBF Neural Network  

김은태 (연세대학교 전기전자공학부)
이성열 (연세대학교 전기전자공학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.40, no.4, 2003 , pp. 243-250 More about this Journal
Abstract
In this paper, the speed controller of permanent-magnet synchronous motor (PMSM) using the RBF neural (NN) disturbance observer is proposed. The suggested controller is designed using the input-output feedback linearization technique for the nominal model of PMSM and incorporates the RBF NN disturbance observer to compensate for the system uncertainties. Because the RBF NN disturbance observer which estimates the variation of a system parameter and a load torque is employed, the proposed algorithm is robust against the uncertainties of the system. Finally, the computer simulation is carried out to verify the effectiveness of the proposed method.
Keywords
RBF;
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