Abstract
This work explores the problem of providing relative velocity navigation for an autonomous precision landing approach on the moon without the use of telemetry or known points of support. An error-state Unscented Kalman Filter for the fusion of inertial and optical imaging sensors is presented. These sensors include a star tracker, a monocular surface camera and a laser altimeter. The filter estimates position, velocity and attitude, which, together with an initial position based on crater matching, allows for trajectory following to the surface. A main difficulty is the scale ambiguity in optical flow. The laser altimeter has been included to resolve this ambiguity and allow for velocity and altitude estimation. The scenario of a lunar landing from parking orbit was chosen to test and verify the developed navigation method in simulation using a high resolution surface model of the moon.
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References
Brady, T., Bailey, E., Crain, T., Paschall, S.: ALHAT System Validation. In: 8th International ESA Conference on Guidance, Navigation & Control Systems, Karlovy Vary, Czech Republic. ESA (June 2011)
Farrenkopf, R.L.: Analytic Steady-State Accuracy Solutions for Two Common Spacecraft Attitude Estimators. Journal of Guidance and Control 1(4), 282–284 (1978)
Flandin, G., Polle, B., Frapard, B., Vidal, P., Philippe, C., Voirin, T.: Vision based navigation for planetary exploration. In: Advances in the Astronautical Sciences, vol. 133, pp. 277–296 (February 2009)
Frapard, B., Mancuso, S.: Vision Navigation for European Landers and the NPAL Project. In: 6th International ESA Conference on Guidance, Navigation and Control Systems, Loutraki, Greece. ESA (October 2005)
Johnson, A.E., Ansar, A., Matthies, L.H., Trawny, N., Mourikis, A.I., Roumeliotis, S.I.: A General Approach to Terrain Relative Navigation for Planetary Landing. In: Infotech, Rohnert Park, California, United States. AIAA (May 2007)
Julier, S., Uhlmann, J.K.: Handbook of Multisensor Data Fusion. In: Data Fusion in Nonlinear Systems, ch. 13. CRC Press LLC (2001)
Julier, S.J., Uhlmann, J.K.: A New Extension of the Kalman Filter to Nonlinear Systems. In: Proceedings of SPIE, vol. 3068, pp. 182–193 (1997)
Julier, S.J., Uhlmann, J.K.: Unscented Filtering and Nonlinear Estimation. Proceedings of the IEEE 92(3), 401–422 (2004)
Kato, M., Sasaki, S., Takizawa, Y.: The kaguya mission overview. Space Science Reviews 154, 3–19 (2010), 10.1007/s11214-010-9678-3
Krüger, H., Theil, S.: TRON - Hardware-in-the-loop test facility for lunar descent and landing optical navigation. In: 18th IFAC Symposium on Automatic Control in Aerospace. IFAC (2010)
Lee, D., Pernicka, H.: Vision-Based Relative State Estimation Using the Unscented Kalman Filter. International Journal of Aeronautical and Space Sciences 12(1), 24–36 (2011)
Li, S., Cui, P., Cui, H.: Autonomous Navigation and Guidance for Landing on Asteroids. Aerospace Science and Technology 10(3), 239–247 (2006)
Li, S., Cui, P., Cui, H.: Vision-aided Inertial Navigation for Pinpoint Planetary Landing. Aerospace Science and Technology 11(6), 499–506 (2007)
Lucas, B.D., Kanade, T.: An Iterative Image Registration Technique with an Application to Stereo Vision. In: International Joint Conference on Artificial Intelligence, vol. 3, pp. 674–679 (August 1981)
Mourikis, A.I., Trawny, N., Roumeliotis, S.I., Johnson, A.E., Ansar, A., Matthies, L.: Vision-aided Inertial Navigation for Spacecraft Entry, Descent, and Landing. IEEE Transactions on Robotics 25(2), 264–280 (2009)
Roumeliotis, S.I., Sukhatme, G.S., Bekey, G.A.: Smoother based 3D Attitude Estimation for Mobile Robot Localization. In: IEEE International Conference on Robotics and Automation, Detroit, MI, USA, pp. 1979–1986 (May 1999)
Schaub, H., Junkins, J.L.: Analytical Mechanics of Space Systems. AIAA Education Series (2003) ISBN 1-56347-563-4
Steffes, S.: Extended Kalman Filter for HNS Navigator. Technical report, DLR (May 2011)
Striepe, S.A., Epp, C.D., Robertson, E.A.: Autonomous Precision Landing and Hazard Avoidance Technology (ALHAT) Project Status as of May 2010. In: International Planetary Probe Workshop 2010, Barcelona, Spain (June 2010)
Verveld, M.J., Chu, Q.P., de Wagter, C., Mulder, J.A.: Optic Flow Based State Estimation for an Indoor Micro Air Vehicle. In: Guidance, Navigation, and Control Conference and Exhibit, Toronto, Ontario Canada. AIAA (August 2010)
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Verweld, M.J. (2013). Relative Optical Navigation for a Lunar Lander Mission. In: Chu, Q., Mulder, B., Choukroun, D., van Kampen, EJ., de Visser, C., Looye, G. (eds) Advances in Aerospace Guidance, Navigation and Control. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38253-6_38
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DOI: https://doi.org/10.1007/978-3-642-38253-6_38
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