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http://dx.doi.org/10.5207/JIEIE.2006.20.10.047

Maximum Torque Control of SynRM Drive with ALM-FNN Controller  

Ko, Jae-Sub (순천대학교 공대 전기공학과)
Choi, Jung-Sik (순천대학교 대학원 전기공학과)
Chung, Dong-Hwa (순천대학교 정보통신공학부)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.20, no.10, 2006 , pp. 47-57 More about this Journal
Abstract
The paper is proposed maximum torque control of SynRM drive using adaptive teaming mechanism-fuzzy neural network(ALM-FNN) controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current $^i{_d}$ for maximum torque operation is derived. The proposed control algorithm is applied to SynRM drive system controlled ALM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the ALM-FNN and ANN controller.
Keywords
Synchronous Reluctance Motor; Maximum Torque Control; Fuzzy Control; Neural Network; Alm-Fnn Controller;
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