Aplikasi Algoritma Fuzzy Sugeno pada Kendali Kestabilan Putaran Motor Pneumatik

Abstract

The use of electric motor drives in the process industry has the risk of causing sparks due to short circuit currents and the formation of electromagnetic fields. Chemical contamination with sparks and electromagnetic fields poses a risk of fire. Thus, the use of pneumatic motors can be used as an alternative solution. The focus of this research is to control the rotational stability of the pneumatic motor drive so that it can move stable under normal conditions or is disturbed using fuzzy logic algorithms. The pneumatic motor rotates with the wind energy source coming from the compressor. To maintain the stability of rotation, the flow of wind through the pneumatic motor is regulated through the size of the proportional solenoid valve opening. The size of the valve opening is regulated electronically through the control device by paying attention to feedback from the speed sensor. The speed sensor value is compared with the setpoint value so as to produce error and delta error variables as a reference for controller input. The output of the control system is a decision making of the size of the valve opening based on the results of Sugeno's fuzzy inference. The overall test results show that the pneumatic motor can rotate stably with a steady state error of 0.656% at a source pressure of 3.2 bar.