固体氧化物燃料电池的双模预测控制

Han Miaomiao, Zhou Baozhong
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引用次数: 3

摘要

在燃料利用率约束下,固体氧化物燃料电池(SOFC)系统的输出电压应保持恒定,这是SOFC系统在额定负载下最常遇到的问题之一。双模预测控制由于具有处理约束和保证闭环稳定性等突出的优点,是过程控制中最受欢迎的方法之一。基于辨识出的额定负荷工作点模型,设计了SOFC系统的双模预测控制器。然而,由于辨识误差的存在,输出中不可避免地会出现稳态误差。为此,在增广模型中引入了积分项。仿真结果表明,本文提出的积分作用双模预测控制器能够消除燃油利用率约束下的稳态误差。
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Dual-Mode Predictive Control of Solid Oxide Fuel Cell
It is one of the most frequently stated problems for solid oxide fuel cell (SOFC) system with rated load that output voltage should be kept constant under the fuel utilization rate constraint. Dual-mode predictive control is one of the most popular approaches in process control due to its outstanding advantages such as handling constraints and ensuring close-loop stability. Based on the identified model at the rated load operating point, a dual-mode predictive controller was designed for the SOFC system. However, steady state error was unavoidable in the output because of the identification error. To this end, an integral term was introduced into the augmented model. Simulation results show that the proposed dual-mode predictive controller with integral action in this paper can eliminate the steady-state error under the fuel utilization rate constraint.
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