RBF NEURAL NETWORK ROBUST ADAPTIVE CONTROL FOR WIND GENERATOR SYSTEM
AbstractThe RBF neural network robust adaptive control method of wind generator system is studied in this work. The design procedure in this paper aims at designing RBF neural network adaptive controllers that guarantee wind speed precise tracking. Moreover, the speed control problems are reduced to Lyapunov stability problem. In this way, by solving the stability Lyapunov functions, the feedback gains which guarantee global asymptotic stability and desired speed performance are determined. The results of numerical simulation showing the superiority of the proposed method than the existing result.
DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS