机电工程技术2024，Vol.53Issue(4)：197-200,4.DOI:10.3969/j.issn.1009-9492.2024.04.043
基于模糊天牛须PID的稀土电解温度浓度解耦控制
Temperature and Concentration Decoupling Control of Rare Earth Electrolysis Based on Fuzzy PID
摘要
Abstract
The temperature in the electrolytic cell is the key condition that affects the quality of the metal and the energy consumption in the electrolytic process,and the oxide concentration in the cell determines the efficiency of the metal and the stability of the electrolytic process.However,there are many chemical reactions and complicated processes in the actual electrolytic cell,and the temperature of the cell and the concentration of molten salt oxide have nonlinear coupling relations.The electrolytic cell model has the characteristics of high hysteresis,strong coupling and time-varying system,and it is difficult to ensure the quality of the discharge metal with electrolytic temperature or oxide concentration as the controlled variable alone.The electrolytic temperature and oxide concentration of 6 kA neodymium oxide are taken as inputs,and the cathode current density and oxide feeding rate are taken as outputs to decouple the output variables and achieve multi-variable decoupling control.Thus improving the quality of neodymium oxide electrolysis.The expert knowledge base is introduced into the fuzzy PID controller to realize effective control of temperature and concentration,which improves the problem that the single effect of control variables in the previous rare earth electrolysis process is not ideal.The initial parameters of fuzzy PID are optimized by means of the optimization iteration ability of the Longox whisker.Simulink platform is used to simulate and compare the fuzzy PID decoupling controller and the conventional PID controller.The experimental results show that the fuzzy PID decoupling control system is better than the single temperature PID control,the overshoot is increased by 6%,and the system response speed is increased by 25%.关键词
6kA氧化钕电解/模糊PID/解耦控制/阴极电流密度/熔盐氧化物浓度Key words
6 kA neodymium oxide electrolysis/fuzzy PID/decoupling control/cathode current density/molten salt oxide concentration分类
矿业与冶金引用本文复制引用
白松,秦玲..基于模糊天牛须PID的稀土电解温度浓度解耦控制[J].机电工程技术,2024,53(4):197-200,4.基金项目
广西高校中青年教师科研基础能力提升项目(2022KY0199) （2022KY0199）
2023 年度广西自治区教育厅高等教育本科教学改革项目(2023JGZ182) （2023JGZ182）
2023年校级科研启动基金项目(XJ202314) （XJ202314）
