FLIGHT PATH OPTIMIZATION USING NONLINEAR PROGRAMMING

Patent №

US 9,564,056

Granted

2017-02-07

Filed 2015

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14844892

A method, medium, and system to receive a mathematical model representation of performance characteristics for an aircraft and an engine combination; perform a projection based model order reduction on the mathematical model representation; eliminate, based on the projected model, fast dynamics components of the mathematical model representation; determine a reduced order model, as a differential algebraic equation, wherein algebraic equations replace the fast dynamics; set a flight path angle and a throttle level angle as a control to minimize fuel consumption for the modeled aircraft and engine combination; discretize equations of motion for the modeled aircraft and engine combination and formulate optimization equations as a nonlinear programming problem; and determine an optimal open loop control that minimizes fuel consumption for the modeled aircraft and engine combination to climb to a prescribed cruise altitude and airspeed.

PlanningG08G 5/00G05D 1/0005G06F 17/13G08G 5/32G06F 30/15G06F 30/20

AI classification

Planning1.00
Evolutionary computation0.01
Machine learning0.00
AI hardware0.00
Knowledge representation0.00
Vision0.00
Natural language0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 366600715

Assignors

GHAEMI, REZA, WESTERVELT, ERIC RICHARD, DARNELL, MARK

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC