Intelligent optimal control of the raw slurry producing process in the alumina production

Raw slurry producing process is composed of the blending subprocess and tank combination subprocess.According to the technological characteristics and the complex characteristics of this process,including the uncertainty and the fluctuation of chemical composition of the raw materials,an intelligent optimal control method of the raw slurry producing process is proposed.The optimal control objective of the raw slurry producing process is decomposed into two sub-objectives of the subprocesses.By using the pre-setting model,the predictive models of the quality indices,and the feed forward and feedback compensator,the optimal objective of the blending subprocess is achieved.The optimal objective of the tank combination subprocess is also achieved by using the particle swarm optimization.Thus,the global optimization of the raw slurry producing process is realized.Industrial application shows the effectiveness of the proposed optimal control approach.