Fuzzy Model Predictive Control of Solid Oxide Fuel Cell with Zone Tracking

被引：5
|
作者：
Wu, Long [1 ]
Wu, Xiao [1 ]
Pan, Lei [1 ]
Shen, Jiong [1 ]
Li, Yiguo [1 ]
Zhang, Junli [1 ]
机构：
[1] Southeast Univ, Sch Energy & Environm, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing 210096, Jiangsu, Peoples R China
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 04期
基金：
中国国家自然科学基金;
关键词：
SOFC; fuzzy model predictive control; zone control; output trajectory optimization; DYNAMIC-MODEL; POWER; SYSTEMS; PLANT;
D O I：
10.1016/j.ifacol.2019.08.180
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Solid oxide fuel cell (SOFC) is of great importance to renewable energy generation system. In practice its output voltage should be held constant and fuel utilization rate should be guaranteed in a reasonable range respectively when the resistance load varies over a large area. In order to overcome the issues in practice, a fuzzy model predictive control with zone tracking for a SOFC power generation system is proposed. The nonlinearity and multivariable coupling are mitigated by fuzzy model and predictive control approaches respectively. The feedforward compensation is adopted to improve with the dynamic response. Zone control is integrated with fuzzy model predictive control for the purposes of satisfying fuel utilization within a desired range. A performance index with a weight function is developed to optimize controlled variables trajectory in the desired range so that the undulations of the controlled variables can be alleviated within the range. The advantages of the proposed method are manifested by simulations. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：210 / 215
页数：6
相关论文
共 50 条
  • [1] Fuzzy Hammerstein Model Based Predictive Control of a Solid Oxide Fuel Cell
    Jurado, F.
    Ortega, M.
    ETFA 2005: 10TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 2, PROCEEDINGS, 2005,
  • [2] Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell
    Jacobsen, Lee T.
    Spivey, Benjamin J.
    Hedengren, John D.
    2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 3741 - 3746
  • [3] Predictive control of solid oxide fuel cell based on an improved Takagi-Sugeno fuzzy model
    Yang, Jie
    Li, Xi
    Mou, Hong-Gang
    Jian, Li
    JOURNAL OF POWER SOURCES, 2009, 193 (02) : 699 - 705
  • [4] ARX modelling and model predictive control for solid oxide fuel cell
    Huo, Haibo
    Huo, Haie
    Chen, Yunlan
    Kuang, Xinghong
    Li, Junjun
    Wu, Yanxiang
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2013, 20 (01) : 74 - 81
  • [5] Multilinear Model Predictive Control of Solid Oxide Fuel Cell Output Voltage
    Horalek, Radek
    Hlava, Jaroslav
    2015 IEEE INTERNATIONAL WORKSHOP OF ELECTRONICS, CONTROL, MEASUREMENT, SIGNALS AND THEIR APPLICATION TO MECHATRONICS (ECMSM), 2015,
  • [6] System Identification and Nonlinear Model Predictive Control of a Solid Oxide Fuel Cell
    Bhattacharyya, Debangsu
    Rengaswamy, Raghunathan
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (10) : 4800 - 4808
  • [7] Explicit/Multi-Parametric Model Predictive Control of a Solid Oxide Fuel Cell
    Kouramas, Kostas
    Varbanov, Petar S.
    Georgiadis, Michael C.
    Klemes, Jiri J.
    Pistikopoulos, Efstratios N.
    21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2011, 29 : 773 - 777
  • [8] Multilinear-Model Predictive Control of a Tubular Solid Oxide Fuel Cell System
    Hajimolana, Seyedahmad
    Hussain, M. A.
    Soroush, Masoud
    Daud, Wan A. Wan
    Chakrabarti, Mohammed H.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (01) : 430 - 441
  • [9] Constrained model predictive control of a solid oxide fuel cell based on genetic optimization
    Li, Yiguo
    Shen, Jiong
    Lu, Jianhong
    JOURNAL OF POWER SOURCES, 2011, 196 (14) : 5873 - 5880
  • [10] MULTIPLE MODEL PREDICTIVE CONTROL FOR SOLID OXIDE FUEL CELLS
    Pan, Lei
    Xue, Yali
    Sun, Li
    Li, Donghai
    Wu, Zhenlong
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 9, 2017,
12345