矿浆中和过程中基于模型预估模糊自适应控制

Based on Fuzzy Adaptive Control of Model Predictive in Slurry Neutralization Process

氢氧化镍钴矿浆用已有的中和过程闭环控制方法,在受到随机干扰影响的情况下,常会造成终点pH值偏离目标值,影响后续工艺过程的矿浆沉淀性能,降低镍钴氢氧化物的产品质量.提出模型预估与模糊自适应相结合的控制方法,通过模型预估控制尽量消除大滞后带来的影响,采用模糊自适应控制可以及时、有效地调整石灰石浆流量的设定值,采用PI控制器跟踪其设定值,从而满足pH值的工业过程控制要求.在国外某大型氢氧化镍钴冶炼厂的成功应用,表明该方法有效地解决了中和过程存在的大滞后时变等问题,使得氢氧化镍钴矿浆中和过程稳定运行,提高镍钴金属成分的回收率.

Nickel hydroxide and cobalt hydroxide slurry neutralization process exist large hysteresis time-varying nonlinear characteristics. When using the existing neutralization process closed loop control methods in the actual application, if the system was affected by random disturbance, then the pH value would deviate from the target value, which would influence on the performance of the subsequent slurry precipitation process, reducing the nickel hydroxide and cobalt hydroxide product quality. The forecast model and fuzzy adaptive control method were combined in order to achieve industrial process control requirement for the pH value. It was demonstrated by the successful application of a large nickel hydroxide and cobalt hydroxide smelter in foreign country that the problems such as large hysteresis time-varying nonlinear characteristics in the neutralization reaction process could be effectively solved based on the proposed method, resulting in the stable running of the nickel hydroxide and cobalt hydroxide slurry neutralization reaction process, and the improvement of the recovery rate of nickel and cobalt metals components.