前馈
控制理论(社会学)
固体氧化物燃料电池
计算机科学
控制系统
功率(物理)
反馈回路
电力系统
燃烧
控制工程
控制(管理)
工程类
化学
物理
有机化学
人工智能
物理化学
电气工程
阳极
量子力学
计算机安全
电极
作者
Darko Vrečko,Marko Nerat,Damir Vrančić,Gregor Dolanč,Boštjan Dolenc,Boštjan Pregelj,Fabien Meyer,Siu Fai Au,R. C. Makkus,Đani Juričić
标识
DOI:10.1016/j.ijhydene.2018.01.203
摘要
One of the main challenges for wide-spread utilization of the solid oxide fuel cell (SOFC) power systems is how to achieve high electrical efficiency without increasing the degradation rate of the fuel cells. To run the SOFC power system at high efficiency over a long period of time, properly designed controllers are indispensable. Although a number of various approaches to control SOFC have been proposed so far, it seems that the design of control system, along with simple tuning procedure, has not been treated in a consistent manner. This issue is addressed in the present paper resulting in a feedforward-feedback control structure. The feedforward part is based on the stoichiometry of electro-oxidation, reforming and combustion reactions, which allow immediate response to variable current demand. The feedback part performs additional fine adjustment of fuel and air supply in order to minimize the undesired system temperatures variations. The selection of pairings of manipulated and controlled variables for control is based on physical knowledge of the system. Input/output pairing for single-loop feedback control is assessed by the relative gain analysis. An efficient procedure for tuning the parameters of the feedback controllers is suggested, relying on simple open-loop step responses of the system. The proposed low-level control is assessed on a detailed physical model of a 2.5 kW SOFC power system by simulating two nonstationary load regimes. Simulations show that the control provides a robust operation under large load variations while meeting the operating constraints. Due to its simplicity, the control is feasible for implementation on a real SOFC system.
科研通智能强力驱动
Strongly Powered by AbleSci AI