PROJECT TITLE :

Speed Control of the Surface-Mounted Permanent-Magnet Synchronous Motor Based on Takagi–Sugeno Fuzzy Models

ABSTRACT:

The speed management of the surface-mounted permanent-magnet synchronous motor (SPMSM) based mostly on Takagi-Sugeno (T-S) fuzzy models is meant and implemented during this paper. In motor drive speed management, proportional-integral controller is mostly applied. But, the tracking performance and load regulation capability should be compromised within the coming up with process of the controller. This study develops a speed controller primarily based on the T-S fuzzy model with smart tracking ability and load variation regulation. First, the dynamic model of an SPMSM is demonstrated and therefore the load torque variation is treated as disturbances. Accordingly, the speed control strategy is developed based mostly on the T-S fuzzy model. The defuzzification process and parallel distributed compensation are introduced. The power of disturbance suppression and therefore the Lyapunov stability of this method are established and analyzed. The controller gains are obtained via the linear matrix inequality toolbox. The speed management and every one essential procedures are realized by the microcontroller Renesas RX62T. The tracking performance and load regulation capability are verified by the experimental results.