氧化铝生料浆制备过程的智能优化控制方法

生料浆制备过程由配料和调槽两个子过程组成.针对该过程的工艺特点以及不确定性大、原料成分波动等过程特性,提出一种智能优化控制方法.将生料浆制备过程的优化目标分解为两个子过程的优化目标,采用模型预设定、指标在线预报、基于模糊规则的前馈和反馈补偿方法实现了配料子过程的优化控制,采用粒子群算法实现了调槽子过程的优化控制,从而最终实现了生料浆制备过程的优化控制.工业应用的结果表明了所提出方法的有效性.

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.