NDLI: Cascade optimization for aircraft engines with regression and neural network analysis - approximators

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Cascade optimization for aircraft engines with regression and neural network analysis - approximators

Content Provider	NASA Technical Reports Server (NTRS)
Author	Guptill, James D. Patnaik, Surya N. Lavelle, Thomas M. Hopkins, Dale A.
Copyright Year	2000
Description	The NASA Engine Performance Program (NEPP) can configure and analyze almost any type of gas turbine engine that can be generated through the interconnection of a set of standard physical components. In addition, the code can optimize engine performance by changing adjustable variables under a set of constraints. However, for engine cycle problems at certain operating points, the NEPP code can encounter difficulties: nonconvergence in the currently implemented Powell's optimization algorithm and deficiencies in the Newton-Raphson solver during engine balancing. A project was undertaken to correct these deficiencies. Nonconvergence was avoided through a cascade optimization strategy, and deficiencies associated with engine balancing were eliminated through neural network and linear regression methods. An approximation-interspersed cascade strategy was used to optimize the engine's operation over its flight envelope. Replacement of Powell's algorithm by the cascade strategy improved the optimization segment of the NEPP code. The performance of the linear regression and neural network methods as alternative engine analyzers was found to be satisfactory. This report considers two examples-a supersonic mixed-flow turbofan engine and a subsonic waverotor-topped engine-to illustrate the results, and it discusses insights gained from the improved version of the NEPP code.
File Size	1206405
File Format	PDF
Language	English
Publisher Date	2000-07-01
Access Restriction	Open
Subject Keyword	Structural Mechanics Wave Rotors Algorithms Neural Nets Engine Analyzers Subsonic Flow Cascade Control Supersonic Jet Flow Aircraft Performance Turbofan Engines Regression Analysis Aircraft Engines Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Technical Report

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