System Identification and Nonlinear Model Predictive Control of a Solid Oxide Fuel Cell

被引:23
作者
Bhattacharyya, Debangsu [2 ]
Rengaswamy, Raghunathan [1 ]
机构
[1] Texas Tech Univ, Dept Chem Engn, Lubbock, TX 79409 USA
[2] W Virginia Univ, Dept Chem Engn, Morgantown, WV 26506 USA
关键词
SOFC STACK; POWER-PLANT; PERFORMANCE;
D O I
10.1021/ie9020254
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Solid oxide fuel cells (SOFCs) are high temperature fuel cells with a strong potential for stationary power house applications. However, considerable challenges need to be overcome to connect these cells to the power grid. The fluctuating grid demand has to be met without sacrificing the cell efficiency and causing structural/material damage to the system. This requirement coupled with fast and highly nonlinear transients of the transport variables results in a challenging control problem. This paper is on synthesizing a controller that can address some of these challenges. For using in the model predictive controller (MPC), input output models are identified from the data generated by a detailed dynamic model. A traditional SISO control and a novel MIMO control are considered here. In the SISO control problem, power is the controlled variable (CV) and H-2 flow is the manipulated variable (MV). In the MIMO control problem, power and the utilization factor (UF) of the fuel are the CVs while voltage and the flow of H-2 are the MVs. The identification study shows that the nonlinear NAARX models with properly chosen cross terms can improve the model performance significantly in a MIMO problem. The results from the control study indicate that a well-tuned proportional integral derivative (PM) controller is sufficient for the single input single output (SISO) power control of a tubular SOFC. It also shows that the mutiple input multiple output (MIMO) control of power and the UF is highly interactive and necessitates a nonlinear model predictive controller (NMPC). Without using any additional hardware such as an ultracapacitor or battery pack, the designed NMPC could satisfy a step change in load with acceptable overshoot in power and the UF. A well-tuned PID controller is found to perform poorly for the MIMO problem. On the basis of these findings, future work will focus on the development of nonlinear predictive control approaches for stack-level control of tubular solid oxide fuel cells.
引用
收藏
页码:4800 / 4808
页数:9
相关论文
共 34 条
  • [1] Response of a solid oxide fuel cell to load change
    Achenbach, E
    [J]. JOURNAL OF POWER SOURCES, 1995, 57 (1-2) : 105 - 109
  • [2] Anode-supported intermediate-temperature direct internal reforming solid oxide fuel cell - II. Model-based dynamic performance and control
    Aguiar, P
    Adjiman, CS
    Brandon, NP
    [J]. JOURNAL OF POWER SOURCES, 2005, 147 (1-2) : 136 - 147
  • [3] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION
    AKAIKE, H
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) : 716 - 723
  • [4] [Anonymous], 1999, SYSTEM IDENTIFICATIO
  • [5] [Anonymous], 1989, Robust process control
  • [6] Artificial neural network simulator for SOFC performance prediction
    Arriagada, J
    Olausson, P
    Selimovic, A
    [J]. JOURNAL OF POWER SOURCES, 2002, 112 (01) : 54 - 60
  • [7] A Review of Solid Oxide Fuel Cell (SOFC) Dynamic Models
    Bhattacharyya, Debangsu
    Rengaswamy, Raghunathan
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2009, 48 (13) : 6068 - 6086
  • [8] Dynamic modeling and validation studies of a tubular solid oxide fuel cell
    Bhattacharyya, Debangsu
    Rengaswamy, Raghunathan
    Finnerty, Caine
    [J]. CHEMICAL ENGINEERING SCIENCE, 2009, 64 (09) : 2158 - 2172
  • [9] Technical considerations of SOFCs for mixed DG/backup power applications
    Bompard, E.
    Napoli, R.
    Orsello, G.
    Roiu, D.
    Tenconi, A.
    Wan, B.
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2008, 33 (22) : 6743 - 6748
  • [10] Dynamic modelling and control of planar anode-supported solid oxide fuel cell
    Chaisantikulwat, A.
    Diaz-Goano, C.
    Meadows, E. S.
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2008, 32 (10) : 2365 - 2381