Intelligent, Robust Control of Deteriorated Turbofan Engines via Linear Parameter Varying Quadratic Lyapunov Function Design

Abstract

A method for accommodating engine deterioration via a scheduled Linear Parameter Varying 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 feed forward neural network. Acceptable thrust response and tight control of exhaust gas temperature (EGT) is accomplished by adjusting the performance weights 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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA433630

Entities

People

  • James A. Turso
  • Jonathan S. Litt

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Control Systems
  • Degradation
  • Engine Components
  • Equations
  • Exhaust Gases
  • Gas Turbines
  • Gases
  • Jet Engines
  • Lyapunov Functions
  • Mechanical Engineering
  • Military Research
  • Neural Networks
  • Simulations
  • Steady State
  • Turbines
  • Turbofan Engines

Readers

  • Aerospace Engineering
  • Linear Algebra
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference