• DocumentCode
    879459
  • Title

    Adaptive control of speed and equivalence ratio dynamics of a diesel driven power-plant

  • Author

    Roy, S. ; Malik, O.P. ; Hope, G.S.

  • Author_Institution
    Dept. of Electr. Eng., Calgary Univ., Alta., Canada
  • Volume
    8
  • Issue
    1
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    13
  • Lastpage
    19
  • Abstract
    A method of modeling, involving approximation of dead-times, is presented for diesel driven power prime-movers. The resulting predictive adaptive control scheme is compared to a conventional PI scheme on the basis of common disturbances encountered by a practical prime-mover. It is found that the adaptive scheme achieves significant improvement despite the nonlinearities introduced by turbocharger operation. It is observed in general that adaptive schemes, such as the one described, affect the prime-mover dynamics in essentially two ways. First, the engine fuel-flow response is improved by better control of the actuator. Secondly, by indirectly controlling the exhaust energy of the plant, the turbocharger air-dynamics is made faster, leading to better dynamic fuel/air ratio. The overall effect is good response of the prime-mover speed notwithstanding the fact that the diesel prime-mover is a low inertia structure and that the system parameters suffer from various nonlinear variations
  • Keywords
    adaptive control; diesel-electric power stations; predictive control; velocity control; dead-times approximations; diesel driven power-plant; disturbances; dynamic fuel/air ratio; engine fuel-flow response; equivalence ratio dynamics; low inertia structure; predictive adaptive control scheme; speed control; turbocharger operation; Adaptive control; Delay; Diesel engines; Frequency estimation; Heuristic algorithms; Nonlinear dynamical systems; Pi control; Prediction algorithms; Predictive models; Programmable control;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.207400
  • Filename
    207400