Position Control of 1-DOF High-Precision Rotary Table using Adaptive Neuro-Fuzzy Inference System (ANFIS) Controller

Hendri Maja Saputra (Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences, Indonesia)
Abdurrahman Nurhakim (Department of Electrical Engineering, UIN Sunan Gunung Djati Bandung, Indonesia)
Sapdo Utomo (Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences, Indonesia)

EMITTER International Journal of Engineering Technology
Vol 7 No 2 (2019)

Research of position control of 1-DOF high-precision rotary table using adaptive Neuro-Fuzzy inference system (ANFIS) controller has been done. In the closed-loop system without a controller, the response was oscillating and pounding caused by inertial torque. It because a rotary table receives a considerable load. Based on this, the ANFIS controller is needed to eliminate oscillations and compensate for the inertia. The result shows that there was no oscillation or overshoot with the steady-state error value of 2.27% for the reference angle of 45°, valued at 0.10% reference angle of 180°, and valued at 0% reference angle of 360°. The result proves that ANFIS controllers can eliminate oscillations with and compensate for inertia.