The hybrid intelligent control for the fused magnesia production

The electro-fused magnesia furnace is one of the main equipments used to produce electro-fused magnesia which is high performance refractory. Due to the multivariable, strong nonlinearity and coupling among the variables, strongly random disturbances of the fused magnesia production process, it is generally difficult or insufficient to only use one independent method to achieve satisfactory control performances. This paper proposes an intelligent optimization control strategy which combines optimization setting technique and intelligent control theory. Furthermore, the electric current presetting model, the setting compensation model and electric pole fluctuation fuzzy control strategy are described in details. The hybrid intelligent optimization control system based on the proposed control strategy is implemented on site. The data acquired from field demonstrates that the hybrid intelligent optimization control system can provides reliable, accurate and timely control performances.