Satellite Orbits Estimation, Determination, and Control : Satellite orbits determination and estimation using adaptive Least Mean Squares, Kalman filters, and Neural Networks

Zayan, Mohamed

ISBN 10: 3843364273 / ISBN 13: 9783843364270

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This thesis analyzes and develops the methods of accurate satellite orbits determination and estimation using adaptive Least Mean Squares (LMS), Kalman digital filters, and Adaptive Neural Networks (ANN). In addition, the thesis develops and implements satellite orbits controllers using an Adaptive Neural Network Predictive Control (ANNPC) technique. After a spacecraft has been placed in an operational orbit about the Earth, it will lose its orbit due to physical perturbation forces from the Earth, the Sun, and the Moon. Subsequent thrusting maneuvers will be required to correct the satellite orbit. Orbit estimation and determination are required with high accuracy, which are the first and the most important phase in preparation of the satellite-control-maneuver. The thesis specifically addresses the algorithmic implementation of the LMS and Kalman filters for the spacecraft orbit determination and estimation problem. The inherent advantages, disadvantages and trade-off, which are required to select the suitable method, have been analyzed. The orbit determination and estimation has been refined using multi-layers ANN with a non-linear function.

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Bibliographic Details

• Title: Satellite Orbits Estimation, Determination, and Control : Satellite orbits determination and estimation using adaptive Least Mean Squares, Kalman filters, and Neural Networks
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3843364273
• ISBN 13: 9783843364270
• Binding: Soft cover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

About this title

Synopsis

This thesis analyzes and develops the methods of accurate satellite orbits determination and estimation using adaptive Least Mean Squares (LMS), Kalman digital filters, and Adaptive Neural Networks (ANN). In addition, the thesis develops and implements satellite orbits controllers using an Adaptive Neural Network Predictive Control (ANNPC) technique. After a spacecraft has been placed in an operational orbit about the Earth, it will lose its orbit due to physical perturbation forces from the Earth, the Sun, and the Moon. Subsequent thrusting maneuvers will be required to correct the satellite orbit. Orbit estimation and determination are required with high accuracy, which are the first and the most important phase in preparation of the satellite-control-maneuver. The thesis specifically addresses the algorithmic implementation of the LMS and Kalman filters for the spacecraft orbit determination and estimation problem. The inherent advantages, disadvantages and trade-off, which are required to select the suitable method, have been analyzed. The orbit determination and estimation has been refined using multi-layers ANN with a non-linear function.

About the Author

More than 14 years of professional experience in communication engineering and Information Technology including comprehensive 8 years international experience in aerospace industry design, operation, research and development. Dr. Zayan has Bachelors, Masters and PhD degrees in Satellite Orbits Estimation, Determination, and Control.