ABSTRACT
Many types of drives used in positioning systems need high performance controllers to achieve
good dynamic performance in the presence of system uncertainty and complex environment.
Traditional control schemes like PID can not meet these requirements. On the other hand, a
conventional fuzzy logic controller can usually control a nonlinear system more efficiently, and
provide better performance than PID controllers in terms of shorter rise time and smaller over
shot. Unfortunately, the traditional fuzzy logic controller cannot improve the steady state
performance for time varying systems. To overcome this drawback, the integral of the error of the
system is taken in consideration. This paper presents a hybrid of the conventional PI compensator
with fuzzy logic controller to improve steady–state and dynamic accuracy of the servo position
control system. The results obtained indicate that the proposed controller has an excellent
position tracking performance compared with both traditional PID controller and fuzzy PD
controller.