• DocumentCode
    1699740
  • Title

    Estimator design in jet engine applications

  • Author

    Maggiore, Manfredi ; Ordóñez, Raúl ; Passino, Kevin ; Adibhatla, Shrider

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    3938
  • Abstract
    Jet engines are nonlinear dynamical systems for which an exact mathematical model cannot be used for estimator design, because it is either not available or so complex that it does not fit the necessary assumptions. Thus, classical analytical tools for studying standard system properties like observability, which is very important in estimator design, cannot be directly applied. Generally, for practical jet engine applications, the designer faces two closely related problems: first, given an unmeasurable parameter, find the minimal set of estimator inputs that facilitates achieving a satisfactory estimation performance (input selection); second, given a predetermined set of inputs, derive an “observability” measure that characterizes the estimation feasibility of a specific unmeasurable parameter. In the paper, techniques for solving these two problems are developed and applied to estimator design for jet engine thrust, stall margins, and an unmeasurable state
  • Keywords
    aerospace engines; neural nets; nonlinear dynamical systems; observers; estimation performance; estimator design; input selection; jet engines; observability measure; stall margins; thrust margins; Aircraft propulsion; Control design; Fuels; Jet engines; Life estimation; Manufacturing; NASA; State estimation; Steady-state; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-5250-5
  • Type

    conf

  • DOI
    10.1109/CDC.1999.827974
  • Filename
    827974