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Edwan, Ezzaldeen: Novel approaches for improved performance of inertial sensors and integrated navigation systems. 2013
Inhalt
Abstract
Kurzfassung
Table of Contents
List of Figures
List of Tables
Acknowledgements
List of Abbreviations
List of Symbols
1 Introduction
1.1 Subject of Research
1.2 Main Contributions of this Dissertation
1.3 The Structure of this Dissertation
2 Inertial Navigation Sensors and Error Modeling
2.1 Specifications and Grades of the IMUs
2.2 Reference Frames
2.3 Inertial Sensors
2.4 Inertial Sensor Error Modeling
2.5 Summary
3 Angular Motion Estimation Using Distributed Configurations of Fixed Accelerometers
3.1 Literature Survey of Inferring Angular Motion from Accelerometers
3.2 Distributed Accelerometer Triad Definition
3.3 The Configuration of Multiple Distributed Accelerometer Triads
3.4 GF-IMU Error Calibration
3.5 AME Based on Three-State Model EKF
3.6 Three-State Model Simulation Results
3.7 Three-State Model Experimental Results
3.8 Summary
4 Aiding Fixed Distributed Accelerometers by Rotating Accelerometers and Conventional Gyros
4.1 Motivation for Aid
4.2 Rotating Accelerometers and Conventional Gyros Aid
4.3 Configuration of Fixed and Rotating Accelerometers
4.4 Static Scenario Special Case (North-Finding System)
4.5 Experimental Results
4.6 Gyro Aided GF-IMU Using Three-state EKF Model
4.7 Simulation Results
4.8 Robustness of the Direct EKF
4.9 Summary
5 Angular Motion Estimation Utilizing Dynamic Models and Constrained Kalman Filtering
5.1 AME Using Dynamic Models in a GF-IMU
5.2 Dynamic Models to Be Considered
5.3 Sensor Error Model and the Measured AIV and Calibration
5.4 An EKF Solution Using Singer Model with Appending Bias Parameters
5.5 An EKF Solution Using Singer Model without Appended Bias Parameters
5.6 Observability Analysis
5.7 Simulation Results for the Augmented Model
5.8 Simulation Results for Non-Augmented Model
5.9 Constraints Derivation
5.10 Constrained EKF
5.11 EKF Constrained Model Simulation Results and Analysis
5.12 Summary
6 DCM Based Attitude Estimation
6.1 Attitude Estimation Using Inertial Sensors
6.2 Literature Survey of Common Attitude Representation Methods
6.3 Attitude Update Using Rotation Angle Vector
6.4 DCM Based Attitude Estimation Algorithm
6.5 Experimental Results and Evaluation of the Performance
6.6 Summary
7 DCM Based GPS/INS Integration
7.1 Literature Survey for DCM Based Integrated Navigation
7.2 The Strapdown Mechanization and DCM Based Filter Formulation
7.3 Total State Euler Angles Based UKF
7.4 Simulation Result of Air Vehicle
7.5 Experimental Results Using Car Collected Data
7.6 Special Forms of DCM Based GPS/INS Integration
7.7 Summary
8 Conclusion
8.1 Summary
8.2 Conclusion
8.3 Suggestions for Future Work
Appendix A: Derivatives of Matrices and Vectors
Appendix B: Special Matrices
References