It is difficult to optimize and control pH in iron removal process

due to multi-reactor cascade

delayed detection of ionic concentration

and frequent change of working conditions. A pH optimization control method was proposed for iron removal process of a multi-reactor cascade. This method set pH in each reactor of the cascade according to classification of inlet conditions and amount of oxygen change. Two key factors

i.e. pH and ferrous ion concentration

were used to establish calcine consumption model by chemical reaction mechanism and process material balance. Considered effects of both complex mechanism and delayed detection of ion concentration on accurate addition of calcine

oxidation-reduction potential (ORP) was introduced and combined with pH to build a modified fuzzy model of calcine consumption. Simulation results show effectiveness of the method

which creates foundation for stable operation of amphibolite iron removal process.