International Journal of Engineering and Technology

In industrial control processes and in flight control systems PID have been widely used because of their simple structure and robust performance in a wide range of operating conditions. Along with classical controller artificial intelligence such as Fuzzy Logic Controller (FLC) algorithms have been used for the optimum design of PID controllers. In this paper, Hybrid Fuzzy PID controller is developed to improve the performance for longitudinal control of an aircraft dynamics. The hybrid controller is designed based on the dynamic modelling of an aircraft system begins with a derivation of suitable mathematical model to describe the longitudinal dynamics. Matlab-Simulink model is used to tune each parameter of Proportional-integral-derivative (PID) controller by selecting appropriate fuzzy rules through simulations. Mamdani-type of Fuzzy Logic Controller is employed in this paper due to its simple and robust approach. The simulation results shows that Hybrid Controller tuned by PID algorithm is better in performance and more robust than the classical type algorithm for aircraft pitch control.