Design and implemented pitch angle wind turbine control system base Neuro fuzzy at East Java-Indonesia

The potential of wind energy in Indonesia has not been utilized optimally. Average wind speeds (2-6 m / s) is relatively low and the change makes wind turbine design constraints. This resulted in relative angular velocity of the turbine is changed so that the production of electric power is also changing. In this study constructed a prototype wind turbine incorporates blade pitch angle control system based Neuro-fuzzy, to keep the rotational speed so that the rotation angle of the turbine generator can be maintained. The control system equipped with turbine shaft speed sensor such as a rotary encoder. Turbine pitch angle changes significantly affect the angle of the turbine rotational speed. Control systems are built have membership functions of input error and delta error varied. The results of the best design, the control system has a membership function specification input error and delta error 9 pieces 3 pieces. The controller is able to work at its optimum best and is able to maintain the set point 30 pulse per second (PPS), maximum Overshoot 6.7%, 3.63% steady state error, settling time 75 second, and ITAE = 34.916.