Speed control for a permanent magnet synchronous motor based on fuzzy logic with reduced perturbations on the supply network

Fuzzy logic controllers, FLCs, are elements of the artificial intelligence, and, today, they are widely use in command and control of many industrial processes. It involves the acquisition of better signal wave forms at the output and the reduction of all oscillations (in case of electric drives, we consider speed variation, torque variation, current variation for all the three phases ore more) in comparison with the classic control procedures. This paper presents two case studies of two FLCs applied for some exterior permanent magnet synchronous machines, PMSM. One fuzzy logic algorithm has 25 rules and the other has 49 rules. These FLCs are developed for less computational issues, which make them suitable for real time implementation. The permanent magnet synchronous machines are used today in state of the art drives due to their dynamic performances. It is known that PMSM has a high torque density, with reduced losses/torque rates, a high power factor and a quick torque and speed time response. All the references concerning the real time implementation are made on the digital signal processor controller board type DS1104.