A study on PID intelligent optimization based on radial basis function neural networks

Application of Neural Networks (NN) control receives worthy results in approximation to unknown dynamic systems. This paper presents an intelligent controller based on radial basis function neural networks as an improvement model from traditional PID control for the novelty: construct a radial basis function neural network to identify the uncertainly load disturbance online thus adjust parameters timely with self-adapting ability. The simulation verifies the effectiveness of this control strategy.