Adaptive control using compensatory fuzzy neural network for vertical electric furnace

The vertical electric furnace is a multi-variable complex system, conventional control methods are used to control it, to need modelling and decoupling. In this paper, a model reference adaptive control using the compensatory fuzzy neural network for the vertical electric furnace is presented. The dynamics model of the neural network of the system is identified by the adaptive compensatory fuzzy learning algorithm, which it can be employed as the identifier of the system. Another neural network is trained to learn the inverse dynamics of the vertical electric furnace so that it can be used as a nonlinear controller. The simulation results testify that the model is satisfied and the control is effective.