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.