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作 者:谭超[1,2] 王超[1] 李惟一[1] 吴同[1] 张开仕[1]
机构地区:[1]宜宾学院化学与化工学院,四川宜宾644007 [2]计算物理四川省高校重点实验室,四川宜宾644007
出 处:《计算机与应用化学》2013年第6期629-632,共4页Computers and Applied Chemistry
基 金:宜宾学院科研与教学创新团队项(Cx201104);四川省应用基础研究项目(2013JY0101);四川省教育厅重点项目(2012A201)
摘 要:在化工生产实践中,基于被控变量检测的反馈控制系统占有绝对比重。不过,实际生产过程中却存在着这样一类情况,过程的被控制变量,甚至过程的扰动均无法测量或难以测量,如精馏塔塔顶、塔底产品的组成,因而难于实现反馈控制或前馈控制。精馏塔是化工等行业中广泛使用的分离设备,其控制方案在化工过程中具有十分关键的作用。为满足工艺要求和节能,需将塔顶和塔底产品流控制在设计值。理论上,将产品组成直接作为被控变量是最佳的,但仍有一些问题限制了其在实践中的推广使用。基于可测辅助变量推断难以直接测量或测量滞后太大的关键过程变量的推断控制能弥补这一缺陷。本文以多组分精馏过程为例,在MATLAB平台进行了多变量推断控制控制设计及仿真,并对其鲁棒性进行了分析,达到较好的控制仿真效果。In the process of chemical production practice, the feedback control system, which is based on the measurement of controlled variables, accounts for an absolutely big proportion. However, there is still a type of situation, process controlled variables, and even process disturbances can not be measured or is difficult to measure. The composition of bottom and top product of a distillation column is the classical example. It is impossible to realize a feed-back control or feed-forward control. The distillation column, as popular separation equipment, is of fundamental importance to the chemical and process industries and its control programs have a very crucial role in the chemical process. To meet the technical requirements and conservation, the composition of top and bottom product stream needs to be controlled at their set values. Theoretically, it is the best to use the composition of the product as the controlled variable, but there are still some problems to limit its usage in practice. Based on the fact that those variables difficult to measure or with a big lag can be inferred from other measurable auxiliary variables, inferential control can compensate for this defect. Taking multi-component distillation process for example, the inferential control scheme is designed and simulated in MATLAB platform. Moreover, its robustness is analyzed. This results reveal that such a scheme achieve an acceptable performance.
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