• DocumentCode
    1792279
  • Title

    Thermal modelling and control of hydrogen-oxygen combustor

  • Author

    Jun Lu ; Yuke Gao ; Chengshi Yang ; Bo Peng ; Ronghua Wan ; Xinbo Han ; Weifeng Ma

  • Author_Institution
    705 Res. Inst., China Shipbuilding Ind. Corp., Xi´an, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    1895
  • Lastpage
    1900
  • Abstract
    The hydrogen-oxygen combustor represents an area of particular interest to temperature control. In this paper, we developed the thermal model of the hydrogen-oxygen combustor, which accounts for the interphase coupling. Using the model, the temperature distribution along the combustor is analyzed. In addition, we also proposed the new model predictive control (MPC) strategy for the outlet temperature control of the combustor. First, the relationship between the temperature at the combustor exit and the flow rate of coolant water is identified using support vector machine (SVM). Then, particle swarm optimization (PSO) is employed to solve the resulting optimization problem formulated by MPC. Simulation results demonstrate that the proposed MPC strategy can effectively regulate the temperature at the combustor exit to the set point.
  • Keywords
    combustion; combustion equipment; mechanical engineering computing; particle swarm optimisation; predictive control; support vector machines; temperature control; temperature distribution; MPC strategy; PSO; SVM; combustor exit temperature; coolant water flow rate; hydrogen-oxygen combustor control; interphase coupling; model predictive control; outlet temperature control; particle swarm optimization; support vector machine; temperature distribution; temperature regulation; thermal modelling; Coolants; Hydrogen; Mathematical model; Optimization; Predictive models; Support vector machines; Hydrogen-oxygen combustor; temperature control; thermal modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885991
  • Filename
    6885991