Robust control of nonlinear PEMFC against uncertainty using fractional complex order control

被引:0
|
作者
Masoomeh Shahiri
Abolfazl Ranjbar
Mohammad Reza Karami
Reza Ghaderi
机构
[1] Babol University of Technology,Department of Computer and Electrical Engineering
[2] Shahid Beheshti University,Department of Electrical and Computer Engineering
来源
Nonlinear Dynamics | 2015年 / 80卷
关键词
PEM; Fuel cell; Complex order controller; Load disturbance; Oxygen excess ratio; Robust control;
D O I
暂无
中图分类号
学科分类号
摘要
This work proposes a fractional complex order controller (FCOC) design strategy to cope with uncertainty in a proton exchange membrane fuel cell (PEMFC) model. The fuel cell dynamic behavior is inherently nonlinear and time varying. Accordingly, a locally linearization technique is used to achieve a linear interpretation in form of transfer function instead of nonlinear dynamics. When the current load is suddenly changed, the voltage and consequently the operating point are dramatically varying. Therefore, the resultant linearized model of the PEMFC changes. The discrepancy between those deviated models from the nominal plant will be regarded as system uncertainties, which must be cured by robust controller. In PEMFC dynamic, the ratio of the oxygen with respect to the air supply, i.e. the oxygen excess ratio (λo2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \lambda _{{\mathrm{o}_{2} }}$$\end{document}), is required to be adjusted. A sudden load variation causes huge variations in λo2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \lambda _{{\mathrm{o}_{2} }}$$\end{document}. Main purpose of this manuscript is to investigate the capability of the FCOC to regulate λo2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \lambda _{{\mathrm{o}_{2} }}$$\end{document} in different operating conditions. The designed controller will be gained to satisfy multi-constraint problem. The performance of the controllers is verified in the presence of uncertainty by means of the frequency criteria, i.e. the phase and the gain margins, as well as the time indices. The quality of the controller will be investigated on the original nonlinear plant. The stability and performance of the proposed controller with respect to other conventional controllers, e.g. PI\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$PI$$\end{document}, fractional order PI\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$PI$$\end{document}(FO-PI) and H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {H}_\infty $$\end{document} will be also investigated.
引用
收藏
页码:1785 / 1800
页数:15
相关论文
共 50 条
  • [21] Robust adaptive fractional order proportional integral derivative controller design for uncertain fractional order nonlinear systems using sliding mode control
    Yaghooti, Bahram
    Salarieh, Hassan
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2018, 232 (05) : 550 - 557
  • [22] Adaptive NN Tracking Control for Nonlinear Fractional Order Systems With Uncertainty and Input Saturation
    Wang, Changhui
    Liang, Mei
    [J]. IEEE ACCESS, 2018, 6 : 70035 - 70044
  • [23] Structured Robust Control Against Mixed Uncertainty
    de Aguiar, Raquel Stella da Silva
    Apkarian, Pierre
    Noll, Dominikus
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 26 (05) : 1771 - 1781
  • [24] Robust tracking control for quadrotor with unknown nonlinear dynamics using adaptive neural network based fractional-order backstepping control
    Guettal, Lemya
    Chelihi, Abdelghani
    Ajgou, Riadh
    Touba, Mostefa Mohamed
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (14): : 7337 - 7364
  • [25] Control of Towing Kites under Uncertainty using Robust Economic Nonlinear Model Predictive Control
    Lucia, Sergio
    Engell, Sebastian
    [J]. 2014 EUROPEAN CONTROL CONFERENCE (ECC), 2014, : 1158 - 1163
  • [26] Robust fuzzy neural network control for a class of nonlinear fractional-order system
    Institute of Electrical and Information Engineering, Hunan University, Changsha, China
    不详
    不详
    [J]. J. Comput. Inf. Syst., 20 (7347-7357):
  • [27] Zero-Order Robust Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets
    Zanelli, Andrea
    Frey, Jonathan
    Messerer, Florian
    Diehl, Moritz
    [J]. IFAC PAPERSONLINE, 2021, 54 (06): : 50 - 57
  • [28] Adaptive Robust Tracking Control for Multiple Unknown Fractional-Order Nonlinear Systems
    Gong, Ping
    Lan, Weiyao
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (04) : 1365 - 1376
  • [29] Complex Projective Synchronization of Fractional Complex Systems Using Nonlinear Control Method
    Yadav, Vijay K.
    Das, Subir
    Cafagna, Donato
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [30] Robust current loop control of Induction Machine: fractional order control
    Hammami, Rahma
    Ben Ameur, Imene
    Jelassi, Khaled
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2017, : 855 - 859