TY - GEN
T1 - Fuzzy and PNN-based direct torque control for permanent magnet synchronous motor
AU - Lin, Hai
AU - Yan, Wei Sheng
AU - Li, Hong
PY - 2009
Y1 - 2009
N2 - This paper investigates an intelligence realization of direct torque control (DTC) in permanent magnet synchronous motor (PMSM) drives. The scheme is based on fuzzy logic con-trol (FLC) and probabilistic neural networks (PNN). The torque error and flux linkage error were all properly fuzzified into several subsets to select a middle state variable accurately, which is the linear function of flux linkage error and torque error. According to the inputs of the middle state variable and flux linkage angle, the proper switching states of the inverter are selected by the designed PNN. Then, a novel PNN and FLC based PMSM-DTC intelligence implementation scheme is presented in the paper. Simulation results show that the proposed strategy makes the torque and flux linkage ripple lower and current smoother dramatically and has a much better steady state performance while keeping a good dynamic performance compared with the basic one.
AB - This paper investigates an intelligence realization of direct torque control (DTC) in permanent magnet synchronous motor (PMSM) drives. The scheme is based on fuzzy logic con-trol (FLC) and probabilistic neural networks (PNN). The torque error and flux linkage error were all properly fuzzified into several subsets to select a middle state variable accurately, which is the linear function of flux linkage error and torque error. According to the inputs of the middle state variable and flux linkage angle, the proper switching states of the inverter are selected by the designed PNN. Then, a novel PNN and FLC based PMSM-DTC intelligence implementation scheme is presented in the paper. Simulation results show that the proposed strategy makes the torque and flux linkage ripple lower and current smoother dramatically and has a much better steady state performance while keeping a good dynamic performance compared with the basic one.
KW - Direct torque control
KW - Fuzzy logic control
KW - Permanent magnet synchronous motor
KW - Probabilistic neural networks
UR - http://www.scopus.com/inward/record.url?scp=70349312453&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2009.5138466
DO - 10.1109/ICIEA.2009.5138466
M3 - 会议稿件
AN - SCOPUS:70349312453
SN - 9781424428007
T3 - 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
SP - 1606
EP - 1611
BT - 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
T2 - 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Y2 - 25 May 2009 through 27 May 2009
ER -