Aplikasi Metode Neuro-Fuzzy Pada Sistem Pengendalian Antisurge Kompresor

Operating condition that unstabil to compressor is called surge, which defined as self oscillations between pressure and flow, that can cause serious damage to compressor. Because of this problem, it is necessary to design of antisurge compressor control. Using conventional control like PI (Proportional and Integral) controller, effective only for certain condition but uneffective for condition with non linier systems. To handle this problems, it is proposed using Neuro-Fuzzy controller. Application of these system will improve performance indicator of PI controller applied in combination Neural Network and Fuzzy Logic Control to get robust performance system. For respon transient experiment, with differential pressure ( P) 37.91 kg/cm2, Neuro-Fuzzy controller result better performance corcerning to PI controller with settling time 7.3 seconds, maximum overshoot 11.6223 %, error percent 0.0563013 % and error steady state 0.0213438 kg/cm2. Whereas, PI controller result settling time 22.3 seconds, maximum overshoot 17.8996 %, error percent 0.185294 % and error steady state 0.0702449 kg/cm2. For respon transient system simulation with noise and respon transient simulation with noise and load, Neuro-Fuzzy controller also shows better performance with settling time, maximum overshoot and error steady state smaller than PI controller