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Model predictive control as a tool for Improving the process operation of MSW combustion plants

机译:模型预测控制作为改善MSW燃烧厂过程运行的工具

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In this paper a feasibility study is presented on the application of the advanced control strategy called model predictive control (MPC) as a tool for obtaining improved process operation performance for municipal solid waste (MSW) combustion plants. The paper starts with a discussion of the operational objectives and control of such plants, from which a motivation follows for applying MPC to them. This is followed by a discussion on the basic idea behind this advanced control strategy. After that, an MPC-based combustion control system is proposed aimed at tackling a typical MSW combustion control problem and, using this proposed control system, an assessment is made of the improvement in performance that an MPC-based MSW combustion control system can provide in comparison to conventional MSW combustion control systems. This assessment is based on simulations using an experimentally obtained process and disturbance model of a real-life large-scale MSW combustion plant.
机译:在本文中,对称为模型预测控制(MPC)的先进控制策略作为获得改善的市政固体废物(MSW)燃烧厂过程运行性能的工具的应用进行了可行性研究。本文首先讨论了此类工厂的运营目标和控制,随后便提出了将MPC应用于这些工厂的动机。接下来是有关此高级控制策略背后的基本思想的讨论。此后,提出了一种基于MPC的燃烧控制系统,旨在解决典型的MSW燃烧控制问题,并使用该提出的控制系统,对基于MPC的MSW燃烧控制系统在性能方面的改进进行了评估。与常规MSW燃烧控制系统相比。该评估基于使用实际获得的大规模生活垃圾焚烧厂的实验过程和干扰模型进行的模拟。

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