Fast valving control using radial-basis function neural network

Fast valving has long been seen as an effective and economic method to perform transient control in a power generation plant. Due to the inherent nonlinearities that exist in this operation, the fast valving controller designed in the conventional way cannot deliver a satisfactory control. This paper introduces a new approach to control fast valving by using a RBF(radial-basis function) neural network. A controller construction scheme is proposed, in which a stable learning algorithm is embedded. Then the implementation issue is discussed. From the outcome of on-line tests, it is seen that the controller constructed is effective and robust in many different fault situations.