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

摘要

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.