DocumentCode :
137944
Title :
Backup state observer based on Optic Flow applied to lunar landing
Author :
Sabiron, Guillaume ; Burlion, Laurent ; Jonniaux, Gregory ; Kervendal, Erwan ; Bornschlegl, Eric ; Raharijaona, T. ; Ruffier, Franck
Author_Institution :
Biorobotics Dept., Aix-Marseille Univ., Marseille, France
fYear :
2014
fDate :
14-18 Sept. 2014
Firstpage :
2325
Lastpage :
2332
Abstract :
The observer presented in this paper, which was based on the use of three minimalistic bio-inspired Visual Motion Sensors (VMS) detecting Optic Flow (OF) cues, states was intended as a backup solution in the case of Inertial Measurement Unit (IMU) failure. Contrary to most previous Guidance Navigation and Control (GNC) solutions for planetary landing, which have involved a sensor suite including an IMU, an innovative strategy is presented here for estimating states without any need for inertial measurements, based solely on information about the relative velocity of the images of the surrounding environment. A Linear Parameter Varying (LPV) observer designed on a LPV system linearized around a reference trajectory, estimates: the ventral OF, the expansion OF and the local pitch angle. A previously developed observer was applied here to a larger class of nonlinear systems by making an ingenious change of variable. Simulations performed on a lunar landing scenario yielded satisfactory performance and showed the robustness of the OF based observer to initial uncertainties and measurement noise.
Keywords :
aerospace control; biomimetics; entry, descent and landing (spacecraft); image sequences; motion control; navigation; nonlinear systems; object detection; observers; optical sensors; planetary landers; backup state observer; guidance control; guidance navigation; inertial measurement unit failure; linear parameter varying observer; lunar landing; minimalistic bio-inspired visual motion sensors; nonlinear systems; optic flow cue detection; planetary landing; reference trajectory; Mathematical model; Moon; Observers; Optical sensors; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/IROS.2014.6942877
Filename :
6942877
Link To Document :
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