On IMC structure scheme based on ANN´s inverse model for nonlinear system and simulation researches

It was one important method for controller design of the nonlinear control system based on the system´s inverse model, which was rapidly got development in recently years. However for massive complex, unknown and the indefinite nonlinear object, in order to model the inverse model with general use, there were many difficulties in the controller design of the actual nonlinear systems. Based on principle of IMC (Internal Model Control) and the good performance of the ANN´s (Artificial Neural Network) nonlinear mapping and so on, the ANN´s feedforward model identifier M_f and the ANN´s inverse model controller M_i were designed in the article. The IMC structure scheme based on the IMC principle and the ANN´s theory was designed for nonlinear system. Massive simulation researches show that the IMC structure scheme designed based on the ANN´s inverse model is successful and effective, and the ANN´s inverse model controller Mi has the well control performance and general use.