Speed and Current Using Fuzzy Controllers of PMSM under Field-Weakening

The present study explores a field-weakening control strategy for Permanent Magnet Synchronous Motors (PMSMs) to enable high-speed operation beyond their nominal speed limits. The research introduces an innovative approach using Fuzzy Logic-based control to enhance speed and current sensitivity management. This methodology significantly improves the motor's dynamic performance, achieving rapid response and effectively counteracting load torque disturbances. A fuzzy controller is employed to regulate the rotational speed and the stator current component on the d-axis in external regulating loops, with reference values dynamically adjusted based on operating speed and conditions. Comparative simulations between the proposed Fuzzy-PI control system and the conventional PI controller reveal the superior performance of the fuzzy control strategy. Notably, when subjected to a load torque of 0.2 N·m at 0.4 seconds, the Fuzzy-PI controller minimized the effects of noise on speed regulation, as shown in the simulation results. Furthermore, under a higher load torque of 1 N·m at 1 second, the Fuzzy-PI controller demonstrated smoother transitions, reduced current vibrations, and enhanced stability in transient states. These results underline the controller's robustness, achieving faster response time, better stability, and more precise reference tracking. Such performance makes the proposed Fuzzy-PI control system a promising alternative for high-performance industrial applications requiring efficient and reliable motor operation at high speeds.