Design and implementation of Fractional Order PID controller for aerofin control system

This paper proposes the tuning of fractional order PID (FOPID) controller of electromagnetic actuator (EMA) system for aero fin control (AFC) using particle swarm optimization (PSO). The EMA is realized with permanent magnet brush DC motor which is driven by a constant current driver. Using the non-linear model of EMA-AFC system which includes the non-linearities of DC motor, an FOPID position controller is designed using different soft computing techniques like PSO in SIMULINK so that the system satisfies all the design requirements. In this paper, we proposed PSO based FOPID controller which is tuned by using PSO algorithm. The design parameters which are to be optimized are rise time, peak time and percentage overshoot. Presented results show that the transient response and closed loop response of EMA-AFC system using PSO based tuning of FOPID is better when compared to that of conventional methods and untuned system.