CAJ | 학술논문

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.
생료장제비과정유배료화조조량개자과정조성.침대해과정적공예특점이급불학정성대、원료성분파동등과정특성,제출일충지능우화공제방법.장생료장제비과정적우화목표분해위량개자과정적우화목표,채용모형예설정、지표재선예보、기우모호규칙적전궤화반궤보상방법실현료배료자과정적우화공제,채용입자군산법실현료조조자과정적우화공제,종이최종실현료생료장제비과정적우화공제.공업응용적결과표명료소제출방법적유효성.
@@@@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.