Abstract
Our approach to control of forging process centers around having a measurable process attribute follow a reference input. In other words, the control task is that of command following which also rejects process disturbances. Using artificial neural networks an effective control scheme is developed for a forging process. Numerical simulations indicate that such controller provides high performance in terms of command following and disturbance rejection. Moreover, it is fairly robust to model uncertainties.
