DESAIN FRACTIONAL ORDER PID BERBASIS GENETICAL ALGORITHM PADA SISTEM KONTROL AUTOMATIC VOLTAGE REGULATOR

Voltage instability is one of the problems with synchronous generators. A commonly used device to stabilize the voltage in synchronous generators is the Automatic Voltage Generator (AVR). To get a stable voltage on the AVR, a control system is needed, one of which is a PID controller. However, PID controllers generally use conventional PIDs whose parameter adjustments are still manual and cannot be adjusted when the system is working, when changes occur in the system. Therefore, in this study, PID adjustment was developed with the Fractional Order PID (FOPID) method based on Genetical Algorithm (GA). GA serves to optimize FOPID parameters to be more responsive to changes that occur in the system. FOPID controller design tests for AVR systems were simulated using Matlab. The results of testing the AVR system with GA-based FOPID control obtained a rise time response with a value of 0.343s overshoot with a value of 1.29%, for a setting time value of 0.924s and a steady state error of about 0.0014%. Then the value of five GA-optimized FOPID parameters was obtained first proportional control (P) worth 0.5126, second integral control (I) worth 0.4516, third derivative control (D) worth 0.2055, fourth mu (μ) worth 0.9888, finally lamda (λ) worth 0.9577. Furthermore, the value of the objective function used is the Integral of Time Square Error (ITSE) worth 0.0185.