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Some considerations for MPC performance sustainment

机译：MPC性能维持的一些注意事项

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摘要

The success of Multivariable Predictive Control (MPC) has resulted in mature software tools at reasonable prices. This has made the technology valuable for small and mid-scale chemical applications. With a growing number of applications, often geographically spread out and at production facilities with limited or no local process control support staff, performance sustainment is becoming an increasingly challenging task. Although it has been recognized that performance sustainment requires the proper definition of monitoring Key Performance Indicators (KPI's), these KPI's are still very much a topic of discussion within the control community. In addition, providing the proper support structure to maintain these KPI's, which not only deals with technical support, but also with continuous training, is a key element in sustaining and enhancing MPC performance. This paper will discuss different aspects of MPC performance monitoring and technical support when sustaining MPC applications.
机译：多变量预测控制（MPC）的成功产生了价格合理的成熟软件工具。这使该技术对于中小型化学应用具有重要价值。随着越来越多的应用程序（通常在地理位置上分散开来）以及在生产设备中本地流程控制支持人员很少甚至没有的情况下，保持性能变得越来越具有挑战性。尽管已经认识到绩效保持需要对监视关键绩效指标（KPI）进行适当的定义，但是这些KPI仍然是控制社区中非常讨论的话题。此外，提供适当的支持结构来维护这些KPI，不仅要处理技术支持，还要进行持续的培训，这是维持和增强MPC性能的关键要素。本文将讨论维持MPC应用程序时MPC性能监视和技术支持的不同方面。

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