Peak-Seeking Control for Trim Optimization

Metadata Updated: July 17, 2020

Innovators have developed a peak-seeking algorithm that can reduce drag and improve performance and fuel efficiency by optimizing aircraft trim in real time. The algorithm determines a unique trim position for an aircraft by employing a time-varying Kalman filter to estimate the gradient of a performance function using in-flight measurements. Existing trim control systems pre-program position data into an aircraft[HTML_REMOVED]s computer, based on knowledge gained from test flights and wind tunnel experiments. In contrast, this innovation determines in real time the most fuel-efficient trim surface position by taking into account actual flight conditions and an aircraft[HTML_REMOVED]s physical condition. This customized approach results in maximum fuel efficiency for each particular aircraft.Work to date: The Dryden team has validated the algorithm with a series of F-18 experiments.Looking ahead: Future flight research efforts will work to further mature the technology and transition it to other aircrafts. For example, the team is current working with the U.S. Navy to study the potential benefits and costs of implementing the technology on the Super Hornet military aircraft. The group is also talking with the Navy and Lockheed Martin about testing the technology on the F-35 fighter jet.BenefitsFuel-efficient: Reduces fuel consumption and extends the operating range of aircraftsFast: Determines and maintains the optimum trim surface position solution with 5 minutes, despite disturbances and other noiseCustomized: Determines unique trim position using in-flight measurementsVariable: Works on multiple effectors in multiple axes simultaneouslyApplicationsMilitary jetsCommercial airlines

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_14512
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id ce87275f-cd67-4a60-8081-40c21aa39390
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2018-06-26
Homepage URL
Data Last Modified 2020-01-29
Program Code 026:027
Source Datajson Identifier True
Source Hash 911d0bd4dc0f9cc2aebd0a8d1ed29495b473e103
Source Schema Version 1.1

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