Fuzzy Logic Controller based pitch control of aircraft tuned with Bees Algorithm

Abstract

For linear systems and some of non-severe nonlinear systems, classic controllers such as PI and PID have been widely used in industrial control processes because of their simple structure and robust performance in a wide range of operating conditions. Several numerical approaches such as Fuzzy Logic Controller (FLC) algorithm and evolutionary algorithms have been used for the optimum design of PID controllers. In this paper, a pitch displacement of aircraft was controlled by FLC tuned with Bees Algorithm (BA). For a given input, the parameters of Mamdani-type-Fuzzy Logic Controller (the centers and the widths of the triangle membership functions (MFs) in inputs and output) were optimized by the BA with Integral Time Absolute Error (ITAE) as a cost function. In order to compare the optimized Fuzzy Logic Controller with different controller, the PI controller was tuned with BA and also PI controller tuned with Ziegler-Nichols tuning rules. The simulation results show that Fuzzy Logic Controller tuned by bees algorithm is better performance and more robust than the fuzzy-Expert and PI tuned by bees algorithm and Ziegler-Nichols for aircraft pitch control.