On BPNN & fuzzy control-based direct torque control for permanent magnet synchronous motor

To solve those problems associated with conventional direct torque control (DTC) of permanent magnet synchronous motor (PMSM), such as high current, flux and torque ripple, a new back propagation neural network and fuzzy control based PMSM-DTC scheme was proposed. Fuzzy controller was used to replace the hystersis controller and BPNN was used to replace the voltage vector switching table. Simulation results show that the 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.