Transactions on Machine Intelligence 2821-1693 2 1 2019 03 01 Speed Control Of The Interior Permanent Magnet Synchronous Motor Over A Wide Range Using Fuzzy Logic Controller 40 47 159731 10.47176/TMI.2019.40 EN M. Bakhtiari University of Isfahan, Isfahan, Iran Journal Article 2019 01 02 This paper proposes a Fuzzy Logic Controller (FLC) strategy for efficient speed control of an Interior Permanent Magnet Synchronous Motor (IPMSM) drive system operating across a wide speed range. The controller design incorporates Maximum Torque Per Ampere (MTPA) control for sub-rated speeds and field weakening control for speeds above the rated threshold. A key advantage of the proposed FLC is its ability to manage both torque and flux simultaneously across the entire speed spectrum, enhancing control precision and motor performance. The system's performance is evaluated for a 40 kW IPMSM using MATLAB/Simulink simulations. The results are benchmarked against a conventional Proportional-Integral (PI) controller under various dynamic conditions, including step changes in reference speed and load torque, single-phase disconnection scenarios, and parameter variations. The simulation outcomes highlight the superior performance of the proposed FLC approach in terms of fast dynamic response, robustness to disturbances and uncertainties, effective rejection of load variations, and elimination of overshoot and undershoot. Additionally, the controller achieves minimal settling time and negligible steady-state error, confirming its effectiveness and reliability for advanced motor drive applications. https://www.tmachineintelligence.ir/article_159731_85b13778db6b4065b75f0d79a727a587.pdf