Fault Tolerant Attitude Estimation for Small Satellites

Description

Small satellites use commercial off-the-shelf sensors and actuators for attitude determination and control (ADC) to reduce the cost. These sensors and actuators are usually not as robust as the available, more expensive, space-proven equipment. As a result, the ADC system of small satellites is more vulnerable to any fault compared to a system for larger competitors. This book aims to present useful solutions for fault tolerance in ADC systems of small satellites. The contents of the book can be divided into two categories: fault tolerant attitude filtering algorithms for small satellites and sensor calibration methods to compensate the sensor errors. MATLAB® will be used to demonstrate simulations. Dedication Contents Preface Author Biographies 1 Attitude Parameters 2 Mathematical Models for Small Satellite Attitude Dynamics and Kinematics 3 Attitude Sensors 4 Attitude Sensor Measurement Models 5 Attitude Determination Using Two Vector Measurements – TRIAD Method 6 Statistical Methods for Three-Axis Attitude Determination 7 Kalman Filtering 8 Adaptive Kalman Filtering 9 Kalman Filtering for Small Satellite Attitude Estimation 10 Integration of Single-Frame Methods with Filtering Algorithms for Attitude Estimation 11 Active Fault Tolerant Attitude Estimation 12 Fault Tolerant Attitude Estimation: R-Adaptation Methods 13 Fault Tolerant Attitude Estimation: Q-Adaptation Methods 14 Integration of R- and Q-Adaptation Methods 15 In-Orbit Calibration of Small Satellite Magnetometers: Batch Calibration Algorithms 16 In-Orbit Calibration of Small Satellite Magnetometers: Recursive Calibration Algorithms Index