NEURAL NETWORK BASED CONTROLLER FOR NONLINEAR AUTOMATIC GENERATION CONTROL

摘要

This paper presents an Artificial Neural Network (ANN) based controller design for nonlinear multivariable systems. The proposed method uses a novel algorithm for using and training a radial basis function (RBF) neural network based controller. The training algorithm makes sure that it does not violate any constraints on the inputs or outputs. Trajectory tracking results are presented for the challenging problem of nonlinear single area Automatic Generation Control (AGC) power system. Both linear and nonlinear cases are considered and robustness of the controller is tested as well.