자기회귀 웨이블릿 신경망을 이용한 풍력 발전 시스템의 적응 속도 제어기 설계

Design of Adaptive Velocity Controller for Wind Turbines Using Self Recurrent Wavelet Neural Network

In this paper, the adaptive neural network technique is proposed to control the speed of wind power generation system. For maximizing generated power effectively, adaptive neural algorithm based on SRWMM(Self Recurrent Wavelet Neural Network) is derived to on-line adjust the excitation winding voltage of the generator. Through computer simulations, it is shown that the proposed method can achieve smooth and asymptotic rotor speed tracking.