Control of direct current motor by using artificial neural networks in Internal model control scheme

In this research, control of the Direct Current motor is accomplished using a neuro controller in Internal Model Control scheme. Two Feed Forward Neural Networks are trained historical input-output data. The first neural network to identify object's dynamic behavior, and that model used as an internal second obtain inverse object, which applied controller. Experiment conducted on real direct current laboratory conditions. Obtained results compared those achieved by implementing Inverse method with same It was demonstrated proposed simple implement system robustness achieved, great benefit, aside from fact no mathematical necessary synthesize object.