Modeling of an Adaptive Controller for an Aircraft Roll Control System using PID, Fuzzy-PID and Genetic Algorithm

In this paper, an aircraft roll control system for an autopilot that controls the roll angle motion of an aircraft is modeled and simulated using MATLAB/ Simulink. As the roll angle motion is a lateral directional motion, the mathematical model is derived [1]. The control system considered for this roll angle control is PID controller. In this work the PID controller for the roll transfer function of an aircraft is mathematically modeled and simulated for different possible combinations of P, I, D parameters. The simulation octave/results depicts that PID controller needs further tuning to optimize the performance parameters like rise time, settling time and overshoot. Hence the modeled PID controller is tuned using four different tuning methods to get the near to real values of the roll angle system. In spite of tuning for real values of roll angle the PID controller does not satisfy the required criteria. Hence, a proposal of fuzzy controller and fuzzy integrated PID are proposed in order to achieve required performance parameters. From the simulation results, it is observed that PID-GA (Proportional Integral Derivative-Genetic Algorithm) controller delivers the best performance.