Institut supérieur de l'aéronautique et de l'espace

About: Institut supérieur de l'aéronautique et de l'espace is a based out in . It is known for research contribution in the topics: Mars Exploration Program & Seismometer. The organization has 445 authors who have published 644 publications receiving 8049 citations. The organization is also known as: ISAE SUPAERO & National Higher French Institute of Aeronautics and Space.

Equilibrium Transition Study for a Hybrid MAV

Abstract: Wind tunnel testing was performed on a VTOL aircraft in order to characterize longitudinal flight behavior during an equilibrium transition between vertical and horizontal flight modes. Trim values for airspeed, pitch, motor speed and elevator position were determined. Data was collected by independently varying the trim parameters, and stability and control derivatives were identified as functions of the trim pitch angle. A linear fractional representation model was then proposed, along with several methods to improve longitudinal control of the aircraft.

Pixel Level Characterization of Pinned Photodiode and Transfer Gate Physical Parameters in CMOS Image Sensors

Abstract: A method to extract the pinned photodiode (PPD) physical parameters inside a CMOS image sensor pixel array is presented The proposed technique is based on the Tan et al pinning voltage characteristic This pixel device characterization can be performed directly at the solid-state circuit output without the need of any external test structure The presented study analyzes the different injection mechanisms involved in the different regimes of the characteristic It is demonstrated that in addition to the pinning voltage, this fast measurement can be used to retrieve the PPD capacitance, the pixel equilibrium full well capacity, and both the transfer gate threshold voltage and its channel potential at a given gate voltage An alternative approach is also proposed to extract an objective pinning voltage value from this measurement

Autocorrelation of the Ground Vibrations Recorded by the SEIS-InSight Seismometer on Mars

Abstract: This study is InSight contribution number 164. The authors acknowledge both "Universite Federale de Toulouse Midi Pyrenees" and the "Region Occitanie" for funding the PhD grant of Nicolas Compaire. The French authors acknowledge the French Space Agency CNES and ANR (ANR-14-CE36-0012-02 and ANR-19-CE31-0008-08) for funding the InSight Science analysis. We acknowledge NASA, CNES, their partner agencies and Institutions (UKSA, SSO, DLR, JPL, IPGP-CNRS, ETHZ, IC, MPS-MPG) and the flight operations team at JPL, SISMOC, MSDS, IRIS-DMC and PDS for providing SEED SEIS data.

Classification of single-trial auditory events using dry-wireless EEG during real and motion simulated flight

Abstract: Application of neuro-augmentation technology based on dry-wireless EEG may be considerably beneficial for aviation and space operations because of the inherent dangers involved. In this study we evaluate classification performance of perceptual events using a dry-wireless EEG system during motion platform based flight simulation and actual flight in an open cockpit biplane to determine if the system can be used in the presence of considerable environmental and physiological artifacts. A passive task involving 200 random auditory presentations of a chirp sound was used for evaluation. The advantage of this auditory task is that it does not interfere with the perceptual motor processes involved with piloting the plane. Classification was based on identifying the presentation of a chirp sound vs. silent periods. Evaluation of Independent component analysis (ICA) and Kalman filtering to enhance classification performance by extracting brain activity related to the auditory event from other non-task related brain activity and artifacts was assessed. The results of permutation testing revealed that single trial classification of presence or absence of an auditory event was significantly above chance for all conditions on a novel test set. The best performance could be achieved with both ICA and Kalman filtering relative to no processing: Platform Off (83.4% vs. 78.3%), Platform On (73.1% vs. 71.6%), Biplane Engine Off (81.1% vs. 77.4%), and Biplane Engine On (79.2% vs. 66.1%). This experiment demonstrates that dry-wireless EEG can be used in environments with considerable vibration, wind, acoustic noise, and physiological artifacts and achieve good single trial classification performance that is necessary for future successful application of neuro-augmentation technology based on brain-machine interfaces.

Remotely controlled micro/nanoscale aerial vehicle comprising a system for traveling on the ground, vertical takeoff, and landing

Abstract: The invention relates to a microscale radio-controlled aerial vehicle, having a fixed wing (as opposed to a rotary wing) comprising propulsion means (23, 24), said vehicle comprising a means for traveling on the ground, which are attached to the side ends of a section (18) of the wing, the rotational axis Y1 of the wheels (25) being located in front of the center of gravity (31) of the micro-drone (40), the center of gravity (31) of the micro-drone (40) being located in front of the aerodynamic center (32) of the micro-drone, the rotational axis Y1 of the wheels (18) being aligned with the thrust axis of the propulsion means (23, 24), and the traveling means (25) including wheels (25) sized such that the radius D/2 thereof is greater than the distance between the rotational axis Y1 of the wheels and the trailing edge of the wing.