Research on Application of Double Fuzzy Algorithm in Voltage Filtering of Aluminum Electrolysis Cell

At present, the electrolytic aluminum control system uses a first-order algorithm to filter the voltage of the electrolytic cell with serious hysteresis and weak tracking. Aiming at the above problems, this paper researches and designs an adaptive filter based on double fuzzy algorithm. The change of the electrolytic cell voltage measured, the absolute value of the difference between electrolytic cell measurement voltage and filtered electrolytic cell voltage are used as the two input variables of the fuzzy controller 1. The change of the electrolytic cell voltage measured,the absolute value of the difference between electrolytic cell measured voltage and corrected electrolytic cell voltage are used as the two input variables of the fuzzy controller 2. The two fuzzy controllers calculate the filter coefficient and the correction coefficient respectively through a fuzzy algorithm. Simulation results show that the tracking time of the double fuzzy algorithm is 78% shorter than that of the first-order algorithm, and the root mean square error is reduced by 70% compared to the first-order algorithm. It can provide a feasible and excellent filtering algorithm for the intelligent control of electrolytic aluminum.