China Nonferrous Metallurgy

Aiming at the current low level of automation in rare earth electrolysis industry, a fuzzy control method of rare earth oxide concentration based on genetic algorithm (GA) optimization is proposed. Combined with the characteristics of rare earth molten salt electrolysis process, the relationship between cell resistance, rare earth oxide concentration and discharging rate is analyzed to determine the corresponding concentration control strategy. The iterative optimization ability of the genetic algorithm is used to realize the dynamic adjustment of the quantization factor and the scale factor of the fuzzy control, so as to obtain a fuzzy controller with better performance. Simulation verification is carried out through Simulink, and the results show that when the scale factor and quantization factor Ke, Kec, Ku are 0.01,0.03 and 7.94 respectively, the system reaches the optimal, the overshoot of the fuzzy controller is 0.1%, and the adjustment time is 16s, which is improved compared with the traditional PID control and fuzzy control. The practical engineering application results show that the fuzzy control method can control the concentration of rare earth oxide in the ideal area, which can meet the working requirements of rare earth molten salt electrolysis on site. Because this method is optimized by genetic algorithm, more computing resources and time are needed in the complex system of rare earth oxide concentration control. In the future, the algorithm should be improved to improve the optimization efficiency and accuracy.