المجلة الدولية للعلوم والتقنية

In order to achieve high performance for a DC drive system, this paper presents a self-correct intelligent method. A three-layer neural network is used to achieve fuzzy control tactics through a back-propagation algorithm out-line learning. An on-line method is used to regulate the parameters of measured and proportional factors of the proposed system. The performance of the proposed system is measured using different operating stages. The simulation is carried out using Semolina Dlatform based on Matlab 6.0 and combined with neural network toolbox. The simulation results have shown that the self-correct intelligent control method can increase dynamic and static performance of the system. It also motivates the use of Semolina in the area of self-correct intelligent control drives.