OPTIMAL INTERVAL TYPE-2 FUZZY LOGIC CONTROLLER FOR PNEUMATIC SERVO ACTUATOR SYSTEM

In this paper, the positioning of the pneumatic servo actuator system is controlled by the interval type-2 fuzzy logic controller (PD-like IT2-FLC). The main goal of the proposed design is to assure and accommodate the nonlinear system and the uncertainty in its parameters. Therefore, these challenges consider verifying the efficiency and effectiveness of the proposed controller. The optimal parameters of the controller are obtained by the cultural algorithm (CA), which is one of the effective optimization algorithms. The simulation results show that the proposed optimal controller can achieve a desirable specification and guarantee the robustness of stability and performance in the presence of uncertainty and disturbance. Moreover, the results show a desirable performance in terms of obtaining smooth and unsaturated state voltage control action that stabilizes the pneumatic servo actuator system and minimizes the position tracking error of the system output. An improvement of 20% is achieved using the proposed controller in compared the previous controller.