Simulation Research of Composite Control Structure Scheme Based on Feedforward Counterbalance of ANN´s Inverse Model

In order to identify and model and effectively control to the complicated nonlinear systems, principle of identification and control of the ANN´s (artificial neural network) inverse model was analysed for nonlinear system in the paper. Simulation researches of the composite control structure scheme based on the feedforward counterbalance of the ANN´s inverse model was done for nonlinear system. Simulation researches were done for the composite control scheme with conventional PID controller + counterbalance of the MFN (multilayer feedforward network) ANN´s inverse model. The simulation results show, the composite control structure scheme designed is successful, and the relatively simple network architecture can be improved generalization ability of the ANN´s inverse model and the control precision for nonlinear system.