Time-optimal reorientation using neural network and particle swarm formulation

Ko Basu; Robert Graham Melton; Sarah Aguasvivas-Manzano

Time-optimal reorientation using neural network and particle swarm formulation

Ko Basu
, Robert Graham Melton
, Sarah Aguasvivas-Manzano

Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A neural network will be developed to supplement a particle swarm algorithm to find near-minimum-time reorientation maneuvers in the presence of path constraints. The method employs a quaternion formulation of the kinematics, using B-splines to represent the quaternions. Dynamic Inversion will be used in the supervised training of the neural network.

Original language	English (US)
Title of host publication	ASTRODYNAMICS 2017
Publisher	Univelt Inc.
Pages	233-246
Number of pages	14
Volume	162
ISBN (Print)	9780877036456
State	Published - Jan 1 2018
Event	AAS/AIAA Astrodynamics Specialist Conference, 2017 - Stevenson, United States Duration: Aug 20 2017 → Aug 24 2017

Other

Other	AAS/AIAA Astrodynamics Specialist Conference, 2017
Country/Territory	United States
City	Stevenson
Period	8/20/17 → 8/24/17

All Science Journal Classification (ASJC) codes

Aerospace Engineering
Space and Planetary Science

Cite this

@inproceedings{c8aba397dd4b4b7e987e6f52555a4e92,

title = "Time-optimal reorientation using neural network and particle swarm formulation",

abstract = "A neural network will be developed to supplement a particle swarm algorithm to find near-minimum-time reorientation maneuvers in the presence of path constraints. The method employs a quaternion formulation of the kinematics, using B-splines to represent the quaternions. Dynamic Inversion will be used in the supervised training of the neural network.",

author = "Ko Basu and Melton, \{Robert Graham\} and Sarah Aguasvivas-Manzano",

year = "2018",

month = jan,

day = "1",

language = "English (US)",

isbn = "9780877036456",

volume = "162",

pages = "233--246",

booktitle = "ASTRODYNAMICS 2017",

publisher = "Univelt Inc.",

address = "United States",

note = "AAS/AIAA Astrodynamics Specialist Conference, 2017 ; Conference date: 20-08-2017 Through 24-08-2017",

}

TY - GEN

T1 - Time-optimal reorientation using neural network and particle swarm formulation

AU - Basu, Ko

AU - Melton, Robert Graham

AU - Aguasvivas-Manzano, Sarah

PY - 2018/1/1

Y1 - 2018/1/1

N2 - A neural network will be developed to supplement a particle swarm algorithm to find near-minimum-time reorientation maneuvers in the presence of path constraints. The method employs a quaternion formulation of the kinematics, using B-splines to represent the quaternions. Dynamic Inversion will be used in the supervised training of the neural network.

AB - A neural network will be developed to supplement a particle swarm algorithm to find near-minimum-time reorientation maneuvers in the presence of path constraints. The method employs a quaternion formulation of the kinematics, using B-splines to represent the quaternions. Dynamic Inversion will be used in the supervised training of the neural network.

UR - https://www.scopus.com/pages/publications/85049380422

UR - https://www.scopus.com/pages/publications/85049380422#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85049380422

SN - 9780877036456

VL - 162

SP - 233

EP - 246

BT - ASTRODYNAMICS 2017

PB - Univelt Inc.

T2 - AAS/AIAA Astrodynamics Specialist Conference, 2017

Y2 - 20 August 2017 through 24 August 2017

ER -

Time-optimal reorientation using neural network and particle swarm formulation

Abstract

Other

All Science Journal Classification (ASJC) codes

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