Permanent Magnet Synchronous Motors (PMSM) are widely used in low and mid power applications such as computer peripheral equipment, robotics, adjustable speed drives and electric vehicles. The growth in the market of permanent magnet motor drives has demanded the need of simulation tools capable of handling motor drive simulations. Simulations have helped the process of developing new systems including motor drives, by reducing cost and time. In a closed loop system, the speed of a permanent magnet synchronous motor can be controlled by measuring the actual speed of the motor. PI (Proportional Integral), PID (Proportional Integral Derivative) and fuzzy controllers are commonly used for the speed control. In this study, the speed responses of a PMSM are obtained using adaptive fuzzy PID controller. A parallel combination of two controllers, fuzzy PD controller and a fuzzy PI controller, forms the adaptive fuzzy PID controller. Switching action take place between the two controllers based on the error in the speed. MATLAB/Simulink is used for the simulation. A comparison and analysis is made between PI controller and adaptive fuzzy logic controller.