Empirical Tuning of an On-Board Gas Turbine Engine Model for Real-Time Module Performance Estimation

Author:

Volponi Al1,Brotherton Tom2,Luppold Rob2

Affiliation:

1. Pratt & Whitney, 400 Main Street, East Hartford, CT 06108

2. Intelligent Automation, Inc., 13029 Danielson Street, Suite 200, Poway, CA 92064

Abstract

A practical consideration for implementing a real-time on-board engine component performance tracking system is the development of high fidelity engine models capable of providing a reference level from which performance changes can be trended. Real-time engine models made their advent as state variable models in the mid-1980s, which utilized a piecewise linear model that granted a reasonable representation of the engine during steady state operation and mild transients. Increased processor speeds over the next decade allowed more complex models to be considered, that were a combination of linear and nonlinear physics-based elements. While the latter provided greater fidelity over both transient operation and the engine operational flight envelope, these models could be further improved to provide the high level of accuracy required for long-term performance tracking, as well as address the issue of engine-to-engine variation. Over time, these models may deviate enough from the actual engine being monitored, as a result of improvements made during an engine’s life cycle such as hardware modifications, bleed and stator vane schedule alterations, cooling flow adjustments, and the like, that the module performance estimations are inaccurate and often misleading. The process described in this paper will address these shortcomings while maintaining the execution speed required for real-time implementation.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

Reference18 articles.

1. eSTORM: Enhanced Self Tuning On-Board Real-Time Engine Model;Brotherton

2. Use of Hybrid Engine Modeling for On-Board Module Performance Tracking;Volponi

3. Gas Path Analysis Applied to Turbine Engine Conditioning Monitoring;Urban

4. Parameter Selection for Multiple Fault Diagnostics of Gas Turbine Engines;Urban

5. Mathematical Methods of Relative Engine Performance Diagnostics;Volponi;SAE Tech. Pap. Ser.

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