Voltage and frequency control of self-excited induction generator utilizing PI-ANFIS controller

Motor induction could be operated as Self Excited Induction Generator (SEIG) by producing negative slip. However, the output voltage and frequency of SEIG could not guarantee the performance stability under varying load conditions. Hence, suitable control circuit and its control scheme are required to maintain output voltage and frequency of SEIG. This study aims to develop Distribution Static Compensator (DSTATCOM) and Electronic Load Controller (ELC) based Proportional Integral-Adaptive Neuro-Fuzzy Inference System (PI-ANFIS) and to maintain output voltage and frequency of SEIG under the change of loads. D-STATCOM is applied to control reactive power, while ELC is employed to control active power. PI-ANFIS control scheme contains a combination of neural network and fuzzy logic to conduct self-tuning on parameters of PI controller, for more optimum performance. The proposed control was examined in simulation study by utilizing Simulink Matlab. Results of the simulation indicate that when the load changing, PI-ANFIS controller in D-STATCOM system is able to stabilize the output voltage, slightly better than in PI controller. Meanwhile, PI-ANFIS in ELC is capable of recovering the frequency faster than the conventional one.