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The electric furnace is a multivariable nonlinear industrial complex plant. It is very hard to give the exact mathematical model and to confirm parameters. In this paper, the adaptive fuzzy control is applied into the temperature control of the electric furnace to avoid the influence of the inaccuracy of model. In order to improve the limitation of the traditional fuzzy control, the fuzzy algorithm...
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 new approach that automates the optimization of fuzzy control by using improved genetic algorithm is proposed for the vertical electric furnace. This algorithm is an on-line technique and is used to tune the parameters of the fuzzy...
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