Research and Application of Operation Optimization Method for Alumina Evaporation Processes

Alumina evaporation process is one of important process in alumina production plant. The purpose of the above process is to control alkaline solution concentration within a certain range. However, alkaline solution concentration can not be measured on-line. Moreover, dynamics characteristic between the optimal goals and the control loops are too complex to established model. Thus, the existing optimal methods can not solve the optimal control for operation of the alumina evaporation process. To address above problem, a hybrid intelligent optimal control method is proposed, which include feedforward and feedback compensators based on expert rules, presetting model based on case-base reasoning (CBR), soft sensor model based on recursive partial least squares (RPLS). The simulation results show that the proposed methods can control the alkaline solution concentration within their scopes.