One of the frequently discussed applications of artificial intelligence in the area of power electronic systems is the replacement of a classical proportional-integral (PI) speed controller with a fuzzy logic controller (FLC). The proposed fuzzy approach has gained great attention for many researchers due to its several advantages such as; high efficiency, dynamic performance over wide speed range and more robustness against reference mechanical speed and/or load torque disturbance effects. This paper deals with the design of the fuzzy logic-based speed controller for field oriented controlled (FOC) an interior permanent magnet IPMSM motor drives. In this online work, under using of the FLC system and according to speed error and its first time derivative, the proportional and integral gains of the speed regulator are online adjusted. Simulation results have proven that the fuzzy logic speed controller exhibits high and quick dynamic response during both transient and steady-state operation conditions and under forward and reversal motoring, more robustness and less steady-state error especially when there exist unexpected load changes occur, in a wide speed range.