This study is focused on the speed control performances of a Permanent Magnet SynchronousrnMotor (PMSM). Usually, a proportional-integral (PI) controller is used as a speed controllerrnfor a Permanent Magnet Synchronous Motor (PMSM) in high performance drive systemrndespite the existence of many modern nonlinear control techniques. However, a PI controllerrnis sensitive to speed changes, load disturbances and parameters variation without continuousrntuning of its gains. The conventional approach to these issues is to tune the proportional andrnintegral gains manually by observing the response of the system. The tuning of the PIrnparameters must be made on-line and automatic in order to avoid tedious tasks in manualrncontrol. The well-known Ziegler-Nichols method to tune the coefficients of a PI controller isrnvery simple, but cannot guarantee to be always effective. For this reason, this thesis proposedrnthe design of an on-line self tuning PI controller scheme using fuzzy logic controller (FLC).rnThe performance of the proposed controller is tested through a wide range of reference speedsrnas well as with load variations through simulation using MATLAB/SIMULINK and RealrnTime Workshop (RTW) packages. The developed controller algorithm with field orientedrncontrol (FOC) is then simulated on a Texas Instruments TMS320F2812 Digital SignalrnProcessor (DSP) device simulator. In this thesis work a FLC comprising 49 rules is proposedrnto improve the dynamic performance of the drive system. The simulation results show that thernspeed response of the proposed drive is unaffected by load torque & parameters variation.rnFurthermore, the developed controller works well even when the reference speed is changedrnto more complex trajectory, i.e., the developed controller speed regulation is unaffected byrnthe nature of the reference speed trajectory. These shows remarkable performancernimprovement compared to conventional PI speed controller.rnKeywords: PMSM, On-line self tuning PI Controller, Fuzzy Logic, MATLAB/SIMULINK,rnTMS320F2812 (DSP) device simulator.