Predictive filtering for microsatellite control system /

Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contai...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Cao, Lu (Autor), Chen, Xiaoqian (Autor), Xiao, Bing (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London ; San Diego, CA : Academic Press, [2021]
Temas:
Microspacecraft.
Signal processing > Digital techniques.
Petits v�ehicules spatiaux.
Traitement du signal > Techniques num�eriques.
Microspacecraft
Signal processing > Digital techniques
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Predictive Filtering for Microsatellite Control System
  • Copyright
  • Contents
  • List of figures
  • List of tables
  • List of algorithms
  • Biography
  • Lu Cao
  • Xiaoqian Chen
  • Bing Xiao
  • Preface
  • Acknowledgments
  • Symbols and abbreviations
  • 1 Overview
  • 1.1 Introduction
  • 1.2 Microsatellite control system and its design
  • 1.2.1 Microsatellite control system
  • 1.2.2 Microsatellite control system design
  • 1.3 Attitude and orbit determination subsystem design
  • 1.3.1 Sensors for microsatellite control system
  • 1.3.2 State estimation method design
  • 1.3.2.1 Observer-based state estimation
  • 1.3.2.2 Filtering-based state estimation
  • 1.4 Review of nonlinear filtering
  • 1.4.1 Nonlinear Kalman filtering
  • 1.4.1.1 Extended Kalman filtering
  • 1.4.1.2 Sigma-point Kalman filtering
  • 1.4.2 Predictive filtering
  • 1.4.3 Particle filtering
  • 1.4.4 Robust filtering
  • 1.4.5 Nonlinear filters applied to satellite control system
  • 1.5 Motivations for predictive filtering for microsatellite control systems
  • 1.6 What is in this book
  • Part I Preliminaries
  • 2 Fundamental of predictive filtering
  • 2.1 Introduction
  • 2.2 Basic probability of random vector
  • 2.2.1 Random vector
  • 2.2.2 Mean vector
  • 2.2.3 Covariance matrix
  • 2.2.4 Normal distribution random vector
  • 2.2.5 White noise process
  • 2.3 Preliminary definitions and lemma
  • 2.4 Desired properties of filter
  • 2.5 Basic theory of predictive filtering
  • 2.5.1 Derivation of predictive filter
  • 2.5.2 Estimation performance of predictive filter
  • 2.5.2.1 Estimation performance of modeling error
  • 2.5.2.2 State estimation performance of predictive filter
  • 2.6 Summary
  • 3 Modeling of microsatellite control system
  • 3.1 Introduction
  • 3.2 Definition of coordinate frames
  • 3.3 Modeling of single microsatellite control system
  • 3.3.1 Mathematical model of attitude control system
  • 3.3.2 Mathematical model of orbit control system
  • 3.4 Modeling of microsatellite formation flying control system
  • 3.4.1 Definition of dimensionless expressions
  • 3.4.2 Assumption of small eccentricity
  • 3.4.3 J2 and atmospheric drag perturbations
  • 3.4.4 Orbit propagation of the chief microsatellite
  • 3.4.5 Effect of perturbation forces on relative motion
  • 3.4.5.1 Effect of the J2 perturbation on relative motion
  • 3.4.5.2 Effect of the drag perturbation on relative motion
  • 3.4.6 System equation of relative motion
  • 3.4.6.1 Calculation of orbital angular velocity
  • 3.4.6.2 Summary of the relative motion equation
  • 3.4.6.3 Verification of the established relative motion equation
  • 3.4.7 Modeling of microsatellite formation flying control system
  • 3.4.7.1 Modeling of relative position control system
  • 3.4.7.2 Modeling of relative attitude control system
  • 3.5 Modeling of distributed microsatellite attitude control system
  • 3.6 Summary

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