| Title |
Maximum Torque Control of SynRM Drive with ALM-FNN Controller |
| Authors |
Jae-Sub Ko ; Jung-Sik Choi ; Dong-Hwa Chung |
| Keywords |
Synchronous Reluctance Motor ; Maximum Torque Control ; Fuzzy Control ; Neural Network ; Alm-Fnn Controller |
| Abstract |
The paper is proposed maximum torque control of SynRM drive using adaptive learning 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 id 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. |