Undesirable torque ripple reduction for permanent magnet synchronous motor drives using ANFIS

This paper deals with artificial neural networks, to reduce the torque ripple in a PMSM. It takes into account the presence of harmonics in the back-EMF and the cogging torque. New control schemes are thus proposed to derive the optimal stator currents giving exactly the desired electromagnetic torque. The torque and the speed control scheme both integrate two adaptive Neuro Fuzzy system, one dedicated for optimal-current calculation and the other to ensure the generation of the currents. A constant torque is highly required in many applications. Therefore, various works were proposed to minimize the undesirable Torque ripple. These works can be divided into two categories. The techniques from the first one consist in developing the machine's stator and rotor design to cancel the undesirable Torque ripple.