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Predictive Filtering for Microsatellite Control System
- 1st Edition - November 26, 2020
- Authors: Lu Cao, Xiaoqian Chen, Bing Xiao
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 8 6 5 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 1 8 6 6 - 2
Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time… Read more
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Request a sales quotePredictive 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-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems.
- Unifies existing and emerging concepts concerning predictive filtering theory, state estimation, and signal processing for spacecraft control systems
- Provides a series of latest results in, including but not limited to, nonlinear filtering, attitude determination, and state estimation towards spacecraft control systems
- Gives numerical and simulation results in each chapter in order to reflect the engineering practice and demonstrate the main focus of the developed analysis and synthesis approach
- Covers advanced topics in nonlinear filtering with aerospace application
Control engineers working on nonlinear control systems; Aerospace engineers working on spacecraft design; Mechanical engineers working on vehicle systems; Mathematicians and physicians working on complex and nonlinear systems; Postgraduate students majoring in aerospace engineering, mechatronics, control engineering, mechanical engineering, and applied mathematics. Practitioners working on spacecraft control systems; Mathematicians and physicians working on nonlinear dynamic systems; 3rd/4th-year students who are interested in knowing advances in spacecraft control systems and predictive filtering in nonlinear systems
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of figures
- List of tables
- List of algorithms
- Biography
- Lu Cao
- Xiaoqian Chen
- Bing Xiao
- Preface
- Acknowledgments
- Symbols and abbreviations
- Chapter 1: Overview
- Abstract
- 1.1. Introduction
- 1.2. Microsatellite control system and its design
- 1.3. Attitude and orbit determination subsystem design
- 1.4. Review of nonlinear filtering
- 1.5. Motivations for predictive filtering for microsatellite control systems
- 1.6. What is in this book
- References
- Part I: Preliminaries
- Chapter 2: Fundamental of predictive filtering
- Abstract
- 2.1. Introduction
- 2.2. Basic probability of random vector
- 2.3. Preliminary definitions and lemma
- 2.4. Desired properties of filter
- 2.5. Basic theory of predictive filtering
- 2.6. Summary
- References
- Chapter 3: Modeling of microsatellite control system
- Abstract
- 3.1. Introduction
- 3.2. Definition of coordinate frames
- 3.3. Modeling of single microsatellite control system
- 3.4. Modeling of microsatellite formation flying control system
- 3.5. Modeling of distributed microsatellite attitude control system
- 3.6. Summary
- References
- Part II: Sigma-point predictive filtering for microsatellite control system
- Chapter 4: Unscented predictive filter
- Abstract
- 4.1. Introduction
- 4.2. Unscented predictive filter
- 4.3. Estimation performance of UPF
- 4.4. Covariance constraint analysis
- 4.5. Stochastic stability of UPF
- 4.6. Application to microsatellite attitude control system
- 4.7. Application to microsatellite formation flying control system
- 4.8. Summary
- References
- Chapter 5: Central difference predictive filter
- Abstract
- 5.1. Introduction
- 5.2. Central difference predictive filter
- 5.3. Estimation performance of CDPF
- 5.4. Stochastic stability of CDPF
- 5.5. Application to microsatellite attitude system with low precision sensors
- 5.6. Summary
- References
- Chapter 6: Cubature predictive filter
- Abstract
- 6.1. Introduction
- 6.2. Third-degree spherical-radial cubature rule
- 6.3. Cubature predictive filtering
- 6.4. Estimation performance of CPF
- 6.5. Stochastic stability of CPF
- 6.6. Application to microsatellite attitude control system
- 6.7. Application to microsatellite formation flying control system
- 6.8. Summary
- References
- Part III: Predictive variable structure filtering for microsatellite control system
- Chapter 7: Predictive variable structure filter
- Abstract
- 7.1. Introduction
- 7.2. Predictive variable structure filter design
- 7.3. Theoretical basis of PVSF
- 7.4. Stability of state estimation error
- 7.5. Practical implementation of PVSF
- 7.6. State estimation error covariance of PSVSF
- 7.7. Application to microsatellite distributed attitude control system
- 7.8. Application to microsatellite formation flying control system
- 7.9. Summary
- References
- Chapter 8: Predictive adaptive variable structure filter
- Abstract
- 8.1. Introduction
- 8.2. Predictive adaptive variable structure filter
- 8.3. Derivation of sigma point PAVSF
- 8.4. Strong tracking PAVSF
- 8.5. Application to microsatellite attitude control system
- 8.6. Summary
- References
- Chapter 9: Predictive high-order variable structure filter
- Abstract
- 9.1. Introduction
- 9.2. Predictive high-order variable structure filter
- 9.3. Derivation of orthogonal PHVSF
- 9.4. Huber PHVSF design
- 9.5. Application to attitude control system with low precision sensors
- 9.6. Application to distributed attitude control system
- 9.7. Summary
- References
- Chapter 10: Conclusion and future work
- Abstract
- 10.1. General conclusion
- 10.2. Future work
- References
- References
- Index
- No. of pages: 282
- Language: English
- Edition: 1
- Published: November 26, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128218655
- eBook ISBN: 9780128218662
LC
Lu Cao
Dr. Lu Cao is an associate research fellow. He is one of the world leading scholars in the field of nonlinear filtering/state estimation for spacecraft control systems. He is a productive researcher by publishing 50+ SCI journal papers, and has been authorized with 7 invention patents.
Dr. Cao has been the pioneer to establish advanced filtering algorithms in practice such as satellites and other. He designed the attitude determination and control system of Tian-Tuo (TT) series micro/nano satellites (totally 8 satellites), and has rich theoretical research and engineering application experience. As recognition for his significant contributions, he is a review expert in aerospace major journals such as Acta Astronautica, Advances in Space Research, Nonlinear Dynamics, and Aerospace China. Moreover, he has won many major awards, which include: the Excellent Master’s Thesis, the Excellent Doctorate Thesis, and has been selected in“Yong Talent Lift Project”.
Affiliations and expertise
Associate Research FellowXC
Xiaoqian Chen
Prof. Xiaoqian Chen is one of the world leading scholars in the field of spacecraft design. Prof. Chen took in charge of developing Tian-Tuo (TT) series micro/nano satellites (totally 8 satellites). Under his leadership, his team accomplished Tian-Yuan 1 on-orbit refueling satellite flight test, which is the second time in the world after the United States. He established advanced overall design theory of flight vehicles featuring multi-disciplinary design optimization (MDO).
He has been elected as an academician in International Academy of Astronautics (IAA), a member in International Astronautical Federation (IAF), a member in the robotics committee of Chinese Society of Astronautics, and an editorial board member in some major journals. He has won many major awards, which include: the “‘Qiu Shi’ Outstanding Youth Prize for Practical Engineering”, “Science & Technology Award for Chinese Youth”, “Science & Technology Award for Chinese Youth by Chinese Society of Aeronautics and Astronautics (CSAA)”.
Affiliations and expertise
Academician, International Academy of Astronautics (IAA)BX
Bing Xiao
Bing Xiao is an Associate Professor in the School of Automation, at Northwestern Polytechnical University, in China. His work focuses on spacecraft fault tolerant systems design. He has been elected as a senior member of the Chinese Youth Automation Committee, a platform for leading automation researchers in China. He has published over 70 papers.
Affiliations and expertise
Associate Professor, School of Automation, Northwestern Polytechnical University, ChinaRead Predictive Filtering for Microsatellite Control System on ScienceDirect