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Some Real-Time Programs in Aerospace Industry

Some Real-Time Programs in Aerospace Industry. by David Benavente-Sánchez. Sample Projects. Simulation & Avionics Department, GMV SA ( www.gmv.com ) Tail-Boom (GMV SA/CESA for EADS-CASA) Space Systems Engineering Division, DEIMOS-Space ( www.deimos-space.com )

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Some Real-Time Programs in Aerospace Industry

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  1. Some Real-Time Programs in Aerospace Industry by David Benavente-Sánchez

  2. Sample Projects • Simulation & Avionics Department, GMV SA (www.gmv.com) • Tail-Boom (GMV SA/CESA for EADS-CASA) • Space Systems Engineering Division, DEIMOS-Space • (www.deimos-space.com) • Galileo OSPF-SISA Algorithm, (DEIMOS-Space/LogicaCMG for ESA) • Galileo OSPF-GSS Network Optimization Algorithm, (DEIMOS-Space/LogicaCMG for ESA) • SPHYNX Re-entry vehicle (DEIMOS-Space/Alenia Spazio for ESA)

  3. Air-to-Air Refueling Program for Airbus TankersPhase A/B: Tail-Boom Control System • Spec & Preliminary Design of the Tail Boom Control and Monitoring System • Key System Starting Requirements: • 3DOF: roll-pitch joint, inner-tube extension (boom up to 17m) • V-rudder aerodynamic actuation, hoisting outside envelope • Boom operator console in pilot area • No single point failures in the Control and Monitoring System

  4. Main Functions of the Tail-Boom Flight Control System • Operational Mode Handling: hoisting, approach, connection, (automatic) • Guidance: • Joint position or rates desired by operator (joystick with feel-force system) • Automatic during connection (minimization of loads transmitted to receiver) • Navigation: • Integration of LVDT/RVDT on joints and rudder, IMUs on tips, strain gauges, ARINC A/C flight data • Estimation of low-freq flexible mode amplitudes (first bending and torsion) • Several algorithms proposed • Control: • MIMO gain schedule affected by low-frequency flexible modes

  5. Tail-Boom Control & Monitoring System Real-Time System • Control & Monitoring System Design Main Characteristics • Duplex VME-based Architecture • Distributed (Console and Flight Control System) • RT Operating System: VxWorks AE653 (ARINC 653 compliant) • Real-Time Program Analysis techniques would be particularly interesting in this project because it is required RTCA DO-178B level A safety certification!

  6. Galileo Orbit & Synchonization Processing Facility (OSPF), SISA Algorithm • SISA (Signal-In-Space Accuracy): new concept in GNSS • Each S/C provides its current SISA within the navigation message • SISA “bounds” the error in pseudorange measurements for the worst user location and for the whole navigation message validity time interval • SISA is an indicator of: • Integrity! • Accuracy

  7. SISA Algorithm • SISA has 2 contributors: • Estimation and propagation of SISE (main) • Use of the navigation message • The user does not have the actual OD&TS estimation • Instead, the navigation message approximates it with a set of 16 parameters • Two sources of error now: • Fitting error • Discretization of parameters to n bits (definitions in the absence of clock errors)

  8. Estimation of SISE: Kalman Filter

  9. Propagation of SISE: Use of Transition Matrix

  10. Galileo Sensor Stations Network Optimization Algorithm • An additional GSS must be added (offline Galileo Ground Segment Design, online upon GSS operational contingency) always minimizing the worst SISMA achievable • Finite (but maybe large) number of stations to select among • Tree Search • Level coincides with number of stations • Expansion strategies: • Nearest set near the continuous optimal station • All possible stations

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