Intelligent, robust control of deteriorated turbofan engines via linear parameter varying quadratic lyapunov function design

James A. Turso, Jonathan S. Litt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A method for accommodating engine deterioration via a scheduled Linear Parameter Varing Quadratic Lyapunov Function (LPVQLF)-Based controller is presented. The LPVQLF design methodology provides a means for developing unconditionally stable, robust control of Linear Parameter Varying (LPV) systems. The controller is scheduled on the Engine Deterioration Index, a function of estimated parameters that relate to engine health, and is computed using a multilayer feedforward neural network. Acceptable thrust response and tight control of exhaust gas temperature (EGT) is accomplished by adjusting the performance weighting on these parameters for different levels of engine degradation. Nonlinear simulations demonstrate that the controller achieves specified performance objectives while being robust to engine deterioration as well as engine-to-engine variations.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
Pages678-691
Number of pages14
StatePublished - Dec 1 2004
EventCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference - Chicago, IL, United States
Duration: Sep 20 2004Sep 23 2004

Publication series

NameCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
Volume2

Other

OtherCollection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference
CountryUnited States
CityChicago, IL
Period9/20/049/23/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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