学术报告第201848期-自动化学院

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学术报告第201848期

发布时间:2018-07-18 编辑:李增宇 来源:

报告题目:Thermal stability criterion integrated in model predictive control for batch reactors

报告人:Walter kahm(剑桥大学)

报告时间:2018719 下午3:00—4:00

报告地点:南一楼中311

报告摘要:

Thermal runaways can have a significant impact on the performance and normal operation of reaction processes, causing safety issues and financial loss, which hinder the intensification of such processes. More specifically, a control system that does not possess proper detection mechanisms of the boundary of stability will by necessity be overly conservative. This leads to poorer performance and the inability to intensify the process, i.e. to reduce process times for example and also to achieve higher yields. For the intensification of batch processes a stability criterion, based on the divergence criterion, is presented. The derivation of the stability criterion and a comparison to the original divergence criterion is shown for several batch reactions. It is shown that the stability criterion classifies the system behaviour more reliably for the case studies considered. This stability criterion is embedded in Model Predictive Control, which is a novel control scheme. This scheme allows the controlled increase of the reaction temperature while keeping the processes in a stable region, hence reducing the risk of thermal runaways. This control system enables batch processes to achieve a target conversion in a reduced completion time of reaction and an intensification of batch processes.

报告人简介:

After winning a bronze medal in the International Chemistry Olympiad for the UK he studied Chemical Engineering in the University of Cambridge. After finishing his MEng and BA after 4 years with First Class honours he stayed on to do a PhD in Process Optimisation and Control. Now he is applying Optimisation techniques to Model Predictive Control processes and analysing the stability of dynamic systems. During regular industrial collaborations with Vinnolit GmbH, a leading company producing specialist PVC products in Germany, Walter studies the applicability of optimisation techniques and dynamic simulations are analysed and implemented.