NDLI: Neural Network Based Estimator for a Maneuvering Aircraft

Content Provider	IEEE Xplore Digital Library
Author	Feteih, S. Breckenridge, G.
Copyright Year	1993
Description	Author affiliation: Graduate Student, Mechanical Engineering Dept., FAMU/FSU College of Engineering, Tallahassee, Florida (Breckenridge, G.) \|\| Assistant Professor, Mechanical Engineering Dept., FAMU/FSU College of Engineering, Tallabassee, Florida (Feteih, S.)
Abstract	Dynamically unstable aircraft and their supermaneuverability produce enormous complexities and tight constraints that existing control strategies cannot handle. Neural networks have emerged as a powerful means to deal with complex non-linear systems such as aircraft parameter identification during complex maneuvers. This paper addresses preliminary research conducted to train a neural network to predict aircraft aerodynamic coefficients, both singularly and simultaneously, during a high alpha maneuver. Using a backpropagation algorithm, we were able to train and optimize network training to predict the coefficients by changing the network characteristics. The network's ability to reduce the error between actual aircraft data and the trained network output depends on the number of network layers, the number of neurons in each layer, the types of transfer functions used to represent the neurons, and the method by which the training data is presented to the neural network.
Starting Page	1380
Ending Page	1384
File Size	439222
Page Count	5
File Format	PDF
ISBN	0780308603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Neural networks Aircraft Parameter estimation Aerodynamics Multi-layer neural network Aerospace control Neurons Control systems Training data Vehicle dynamics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Neural network based control system design of an advanced fighter aircraft

Adaptive Control Using Neural Network Augmentation for a Modified F-15 Aircraft

Vessel maneuvering model identification using multi-output dynamic fuzzy neural networks

Learning out of time series with an extended recurrent neural network

Implementation of intelligent controller using neural network state estimator

Neural networks based identification of helicopter dynamics using flight data

An adaptive non-linear state estimator for vehicle lateral dynamics

Control of an inverted pendulum using a neuro-fuzzy controller

Sensitivity analysis using neural network for estimating aircraft stability and control derivatives

Neural Network Based Estimator for a Maneuvering Aircraft

Similar Documents

Neural network based control system design of an advanced fighter aircraft

Adaptive Control Using Neural Network Augmentation for a Modified F-15 Aircraft

Vessel maneuvering model identification using multi-output dynamic fuzzy neural networks

Learning out of time series with an extended recurrent neural network

Implementation of intelligent controller using neural network state estimator

Neural networks based identification of helicopter dynamics using flight data

An adaptive non-linear state estimator for vehicle lateral dynamics

Control of an inverted pendulum using a neuro-fuzzy controller

Sensitivity analysis using neural network for estimating aircraft stability and control derivatives

Neural Network Based Estimator for a Maneuvering Aircraft