Satellite Orbits Estimation, Determination, and Control

 
9783843364270: Satellite Orbits Estimation, Determination, and Control
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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.

Biografía del autor:

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.

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Descripción Condición: New. Publisher/Verlag: LAP Lambert Academic Publishing | Satellite orbits determination and estimation using adaptive Least Mean Squares, Kalman filters, and Neural Networks | 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. | Format: Paperback | Language/Sprache: english | 325 gr | 218x150x13 mm | 236 pp. Nº de ref. del artículo: K9783843364270

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Descripción LAP Lambert Acad. Publ. Okt 2010, 2010. Taschenbuch. Condición: Neu. Neuware - 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. 236 pp. Englisch. Nº de ref. del artículo: 9783843364270

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Descripción LAP Lambert Acad. Publ. Okt 2010, 2010. Taschenbuch. Condición: Neu. Neuware - 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. 236 pp. Englisch. Nº de ref. del artículo: 9783843364270

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Descripción LAP Lambert Acad. Publ. Okt 2010, 2010. Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Neuware - 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. 236 pp. Englisch. Nº de ref. del artículo: 9783843364270

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Descripción LAP Lambert Academic Publishing, Germany, 2010. Paperback. Condición: New. Language: English . Brand New Book. 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. Nº de ref. del artículo: KNV9783843364270

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