Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-09T14:04:04.708Z Has data issue: false hasContentIssue false

8 - Sensing and Estimation of Spacecraft Dynamics

Published online by Cambridge University Press:  29 April 2019

Ranjan Vepa
Affiliation:
Queen Mary University of London
Get access
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Vepa, R. (2010) Spacecraft large attitude estimation using a navigation sensor. Journal of Navigation, 63(1): 89104.CrossRefGoogle Scholar
Hatch, R. R. and Sharpe, T. (2001) A computationally efficient ambiguity resolution technique, in Proceeding of ION GPS 2001, Salt Lake City, UT, 11–14 Sept. 2001.Google Scholar
Pervan, B., Cohen, C., and Parkinson, B. (1994) Integrity monitoring for precision approach using kinematic GPS and a ground-based pseudolite. Navigation, 41(2): 159174.CrossRefGoogle Scholar
Black, H. D. (1964) A passive system for determining the attitude of a satellite. AIAA Journal, 2(7): 13501351.CrossRefGoogle Scholar
Davenport, P. R. (1965) Attitude Determination and Sensor Alignment via Weighted Least Squares Affine Transformations, NASA X-514–71-312.Google Scholar
Davenport, P. R. (1968) A Vector Approach to the Algebra of Rotations with Applications, NASA TN-D-4696.Google Scholar
Shuster, M. D. and Oh, S. D. (1981) Three-axis attitude determination from vector observations. Journal of Guidance and Control, 4(1): 7077.CrossRefGoogle Scholar
Wahba, G. (1965) A least squares estimate of satellite attitude. SIAM Review, 7(3): 409426.CrossRefGoogle Scholar
Farrell, J. L. (1970) Attitude determination by Kalman filtering. Automatica, 6: 419430.CrossRefGoogle Scholar
Potter, J. E. and Vander Velde, W. E. (1968) Optimum mixing of gyroscope and star tracker data. Journal of Spacecraft and Rockets, 5(5): 536540.CrossRefGoogle Scholar
Fujikawa, S. J. and Zimbelman, D. F. (1995) Spacecraft attitude determination by Kalman filtering of global positioning system signals. Journal of Guidance, Control, and Dynamics, 18(6): 13651371.CrossRefGoogle Scholar
Huang, G.-S. and Juang, J.-C. (1997) Application of nonlinear Kalman filter approach in dynamic GPS-based attitude determination. Proceedings of the 40th Midwest Symposium on Circuits and Systems, 1997, 2: 14401444.Google Scholar
Lefferts, E. J., Markley, F. L., and Schuster, M. D. (1982) Kalman filtering for spacecraft attitude estimation. Journal of Guidance, Control, and Dynamics, 5(5): 417429.CrossRefGoogle Scholar
Lerner, G. M. (1978) Three-axis attitude determination. In Spacecraft Attitude Determination and Control, Wertz, J. R. and Reidel, D., eds., Dordrecht: D. Reidel Publishing Co., 420428.Google Scholar
Marins, J. L., Yun, X., Bachmann, E. R., McGhee, R. B., and Zyda, M. J. (2001) An extended Kalman filter for quaternion-based orientation estimation using MARG sensors, in Proceedings of the 2001 IEEE/RSJ, International Conference on Intelligent Robots and Systems, Maui, Hawaii, Oct. 29–Nov. 3, 2001.Google Scholar
de Ruiter, A. H. J. and Damaren, C. J. (2002) Extended Kalman filtering and nonlinear predictive filtering for spacecraft attitude determination. Canadian Aeronautics and Space Journal, 48(1): 1323.CrossRefGoogle Scholar
Vathsal, S. (1987) Spacecraft attitude determination using a second-order nonlinear filter. Journal of Guidance, Control, and Dynamics, 10(6): 559566.CrossRefGoogle Scholar
Sage, A. P. and Melsa, J. L. (1971) Estimation Theory with Applications to Communications and Control, New York: McGraw-Hill, 106156.Google Scholar
Jazwinski, A. H. (1970) Stochastic Processes and Filtering Theory, London: Academic Press.Google Scholar
Crassidis, J. L. and Markley, F. L. (1997) Predictive filtering for attitude estimation without rate sensors, Journal of Guidance, Control, and Dynamics, 20(3): 522527.CrossRefGoogle Scholar
Crassidis, J. L. and Markley, F. L. (1997) Predictive filtering for nonlinear systems. Journal of Guidance, Control, and Dynamics, 20(4): 566572.CrossRefGoogle Scholar
Julier, S. J. and Uhlmann, J. K. (2000) Unscented filtering and nonlinear estimation. Proceedings of the IEEE, 92: 401422.CrossRefGoogle Scholar
Van Dyke, M. C., Schwartz, J. L., and Hall, C. D. (2004) Unscented Kalman Filtering For Spacecraft Attitude State And Parameter Estimation, The American Astronautical Society, Paper AAS-04–115.Google Scholar
Kingston, D. B. and Beard, R. W. (2004) Real-Time Attitude and Position Estimation for Small UAVs Using Low-Cost Sensors, AIAA 3rd Unmanned Unlimited Systems Conference and Workshop, September, 2004, Paper no. AIAA-2004–6488.Google Scholar
Creamer, G. (1996) Spacecraft attitude determination using gyros and quaternion measurements. The Journal of the Astronautical Sciences, 44(3): 357371.Google Scholar
Crassidis, J. L. and Markley, F. L. (2003) Unscented filtering for spacecraft attitude estimation. Journal of Guidance, Control, and Dynamics, 26(4): 536542.CrossRefGoogle Scholar
Kraft, E. (2003) A quaternion-based unscented Kalman filter for orientation tracking. Proceedings of the Sixth International Conference of Information Fusion, 2003(1): 4754.CrossRefGoogle Scholar
Cheon, Y.-J. and Kim, J.-H. (2007) Unscented filtering in a unit quaternion space for spacecraft attitude estimation, in Proceedings of the IEEE International Symposium on Industrial Electronics, 2007, ISIE 2007, 66–71.CrossRefGoogle Scholar
Markley, F. L. and Crassidis, J. L. (2014) Fundamentals of Spacecraft Attitude Determination and Control, New York: Springer-Verlag.CrossRefGoogle Scholar
Markley, F. L. (1978) Matrix and vector algebra. In Spacecraft Attitude Determination and Control, Wertz, J. R. and Reidel, D., eds., Dordrecht: D. Reidel Publishing Co., 754755.Google Scholar
Hoots, F. R., Schumacher, P. W. Jr., and Glover, R. A. (2004) History of analytical orbit modeling in the U.S. space surveillance system. Journal of Guidance, Control, and Dynamics, 27(2): 174185.CrossRefGoogle Scholar
Julier, S. J., Uhlmann, J., and Durrant-Whyte, H. F. (2000) A New method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Transactions on Automatic Control, 45(3): 477482.CrossRefGoogle Scholar
Julier, S. J. (2002) The scaled unscented transformation. Proceedings of the American Control Conference, 6: 45554559.Google Scholar
Farrenkopf, R. L. (1978) Analytic steady-state accuracy solutions for two common spacecraft attitude estimators. Journal of Guidance, Control and Dynamics, 1(4): 282284.CrossRefGoogle Scholar
Wen, T.-Y. J. and Kreutz-Delgado, K. (1991) The attitude control problem. IEEE Transactions on Automatic Control, 36(10): 11481162.CrossRefGoogle Scholar
Bhat, S. P. and Bernstein, D. S. (2000) Topological obstruction to continuous global stabilization of rotational motion and the unwinding phenomenon. Systems and Control Letters, 39(1): 6370.CrossRefGoogle Scholar
Fjellstad, O.-E. and Fossen, T. I. (1994) Position and attitude tracking of AUV’s: A quaternion feedback approach. IEEE Journal of Oceanic Engineering, 19(4): 512518.CrossRefGoogle Scholar
Fragopoulos, D. and Innocenti, M. (2004) Stability considerations in quaternion attitude control using discontinuous Lyapunov functions. IEE Proceedings on Control Theory and Applications, 151(3): 253258.CrossRefGoogle Scholar
Dimarogonas, D. V., Tsiotras, P., and Kyriakopoulos, K. J. (2009) Leader-follower cooperative attitude control of multiple rigid bodies. Systems and Control Letters, 58(6): 429435.CrossRefGoogle Scholar
Kang, W. and Yeh, H. H. (2002) Coordinated attitude control of multi-satellite systems. International Journal of Robust Nonlinear Control, 12(2–3): 185205.CrossRefGoogle Scholar
Wang, P. K. C., Hadaegh, F. Y., and Lau, K. (1999) Synchronized formation rotation and attitude control of multiple free-flying spacecraft. Journal of Guidance, Control, and Dynamics, 22(1): 2835.CrossRefGoogle Scholar
Pan, H. and Kapila, V. (2001) Adaptive nonlinear control for spacecraft formation flying with coupled translational and attitude dynamics, in Proceedings of the 40th IEEE Conference on Decision and Control, Orlando, FL.CrossRefGoogle Scholar
Nijmeijer, H. and Rodriguez-Angeles, A. (2003) Synchronization of Mechanical Systems, Singapore: World Scientific.CrossRefGoogle Scholar
Lawton, J. and Beard, R. W. (2002) Synchronized multiple spacecraft rotations. Automatica, 38(8): 13591364.Google Scholar
Ren, W. and Beard, R. W. (2004) Decentralized scheme for spacecraft formation flying via the virtual structure approach. Journal of Guidance, Control, and Dynamics, 27(1): 7382.CrossRefGoogle Scholar
Egeland, O. and Godhaven, J.-M. (1994) Passivity-based adaptive attitude control of a rigid spacecraft. IEEE Transactions of Automatic Control, 39(4): 842846.CrossRefGoogle Scholar
Bai, H., Arcak, M., and Wen, J. T. (2008) Rigid body attitude coordination without inertial frame information. Automatica, 44(12): 31073175.CrossRefGoogle Scholar
Terui, F. (1998) Position and attitude control of a spacecraft by sliding mode control, in Proceedings of the American Control Conference, 217–221.CrossRefGoogle Scholar
Stansbery, D. T. and Cloutier, J. R. (2000) Position and attitude control of a spacecraft using the state-dependent Riccati equation technique, in Proceedings of the American Control Conference, 1867–1871.CrossRefGoogle Scholar
Singla, P., Subbarao, K., and Junkins, J. L. (2006) Adaptive output feedback control for spacecraft rendezvous and docking under measurement uncertainty. Journal of Guidance, Control, and Dynamics, 29: 892902.CrossRefGoogle Scholar
Subbarao, K. and Welsh, S. (2008) Nonlinear control of motion synchronization for satellite proximity operations. Journal of Guidance, Control, and Dynamics, 31: 12841294.CrossRefGoogle Scholar
Xin, M. and Pan, H. (2010) Integrated nonlinear optimal control of spacecraft in proximity operations. International Journal of Control, 83: 347363.CrossRefGoogle Scholar
Lizarralde, F. and Wen, J. (1996) Attitude control without angular velocity measurements: A passivity approach. IEEE Transactions on Automatic Control, 41(3): 468472.CrossRefGoogle Scholar
Costic, B., Dawson, D., De Queiroz, M., and Kapila, V. (2000). A quaternion-based adaptive attitude tracking controller without velocity measurements, in Proceedings of the 39th IEEE Conference on Decision and Control, 3, Sydney, Australia, 2424–2429.Google Scholar
Akella, M. R. (2001) Rigid body attitude tracking without angular velocity feedback. Systems and Control Letters, 42(4): 321326.CrossRefGoogle Scholar
Sun, L. and Huo, W. (2015) Robust adaptive relative position tracking and attitude synchronization for spacecraft rendezvous. Aerospace Science and Technology, 41: 2835.CrossRefGoogle Scholar
Lu, W., Geng, Y., Chen, X., and Zhang, F. (2011) Relative position and attitude coupled control for autonomous docking with a tumbling target. International Journal of Control and Automation, 4(4): 122.Google Scholar
Brown, M. D. J. (2001). Continuous and Smooth Sliding Mode Control, chapter 8, Ph.D. dissertation, University of Alabama in Huntsville, Dept. of Electrical and Computer Engineering, 117–120.Google Scholar
Wie, B. and Lu, J. (1995) Feedback control logic for spacecraft eigenaxis rotations under slew rate and control constraints. Journal of Guidance, Control, and Dynamics, 18: 13721379.CrossRefGoogle Scholar
Liu, H., Shi, X., Bi, X., and Zhang, J. (2016) Backstepping based terminal sliding mode control for Rendezvous and docking with a tumbling spacecraft. International Journal of Innovative Computing, Innovation and Control, 12(3): 929940.Google Scholar
Yun, X., Bachmann, E. R., and McGhee, R. B. (2008) A simplified quaternion-based algorithm for orientation estimation from Earth gravity and magnetic field measurements. IEEE Transactions on Instrumentation and Measurement, 57(3): 638650.Google Scholar
Trawny, N., Zhou, X. S., Zhou, K. X., and Roumeliotis, S. I. (2007) 3D relative pose estimation from distance-only measurements, in Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, Oct. 29–Nov. 2, 1071–1078.Google Scholar
Sun, T., Xing, F., Wang, X., You, Z., and Chu, D. (2016) An accuracy measurement method for star trackers based on direct astronomic observation. Scientific Reports, 6: 22593. doi: 10.1038/srep22593.CrossRefGoogle ScholarPubMed
Vepa, R. (2009) Biomimetic Robotics: Mechanisms and Control, New York: Cambridge University Press.CrossRefGoogle Scholar
Danielson, B. L. and Boisrobert, C. Y. (1991) Absolute optical ranging using low coherence interferometry. Applied Optics, 30(21): 29752979.CrossRefGoogle ScholarPubMed
Richmond, R. D. and Cain, S. C. (2010) Direct-Detection LADAR Systems, SPIE Press, tutorial text, Bellingham.CrossRefGoogle Scholar
Aboites, V. and Wilson, M. (2018) Lasers. Chapter 16 in Advanced Optical Instruments and Techniques, Vol. 2, Malacara, D., Hernández, D. M., and Thompson, B. J., eds., Boca Raton, FL: CRC Press.Google Scholar
Ueda, A. and Mizui, K. (2002) Vehicle-to-vehicle communication and ranging system using code-hopping spread spectrum technique with code collision avoidance algorithm, in Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2002. IEEE CCECE 2002, No. 3, Winnipeg, Manitoba, Canada, May 12–15, 2002, 1250–1254.Google Scholar
Kwak, J. S. and Lee, J. H. (2004) Infrared transmission for inter-vehicle ranging and vehicle-to-roadside communication systems using spread-spectrum technique. IEEE Transactions on Intelligent Transport Systems, 5(1): 1219.CrossRefGoogle Scholar
Miyagawa, R. and Kanade, T. (1997) CCD-based range-finding sensor. IEEE Transactions on Electron Devices, 44(10): 16481652.CrossRefGoogle Scholar
Kelly, J. P., Klein, T., and Ilves, H. (1999) Design and demonstration of an infrared passive ranger. Johns Hopkins APL Technical Digest, 20(2): 220235.Google Scholar
Fehse, W. (2003) Automated Rendezvous and Docking of Spacecraft, Cambridge Aerospace Series, New York: Cambridge University Press.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×