Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
e ESA Guidance, Navigation, and Control Systems [email protected] ESA Guidance, Navigation, and Control Section e “...Guidance, navigation and control (abbreviated GNC) is a branch of engineering dealing with the design of systems to control the movement of space vehicles...” ESA Guidance, Navigation, and Control Section Acknowledgements and Agenda About this talk, Definition, Terms, History, Acronyms Guidance and Optimal Trajectories (G) Navigation and Estimation (N) Spacecraft Control (C) Gez. Prof. Dr. techn. Klaus Janschek Failure Detection, Isolation, and Recovery (FDIR) Mission Vehicle Management (MVM) Examples of GNC Systems: Earth Orbiting Spacecraft Entry, Descent, and Landing Rendezvous and Formation Flying Dresdner Automatisierungstechnischen Kolloquien Interplanetary Space Vehicles Launchers KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 3 e About this talk, Definition, Terms, History, Acronyms,... ESA Guidance, Navigation, and Control Section About the speaker Dr. Guillermo Ortega is the Head of the Guidance, Navigation and Control Section of ESA Space engineering activities in the GNC area in ESA Design and implement GNC systems for space vehicles including: interplanetary cruise, aero assistance, precision landing, ascent, rendezvous and docking, re-entry, formation flying and drag- free systems Implementation of the ESA policy and requirements in the GNC area including standardisation, and overall technology planning and development KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 5 Definitions GUIDANCE: establishment of the desired path to follow (current, i.e. in real-time and future) NAVIGATION: establishment of the current and future state CONTROL: actions to match the current state (navigation) with the foreseen path (guidance) http://www.ecss.nl KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 6 Problem description: Position Want to “move” a space vehicle from point “A” to point “B” Depart from ISS Pd De-orbiting Pt Touch-down Entry and Descent Landing KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 7 Problem description: Attitude Want to “slew” the axis of a space vehicle from axis “A” to axis “B” line of sight follow-on maneuver object of interest X time satellite roll Z change of objective maneuver yaw Y pitch orbit KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 8 Simplified GNC block diagram Mission Data (guidance) Noise Positions, Velocities, Accelerations SENSORS POSITION CONTROL F ck S/C KINEMATICS NAVIGATION ATTITUDE CONTROL Tca S/C DYNAMICS SENSORS Noise Stabilization Data (guidance) KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems Roll φ, Yaw ψ, Pitch ϕ 9 GNC elements Solar panel flaps Star tracker Gyro Sun sensor Guidance, Navigation, and Control Infra-red sensor Wheels Thrusters Spacecraft Dynamics and Kinematics KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 10 MVM functional diagram Mission Vehicle Management (MVM) Guidance, Navigation, and Control (GNC) Guidance (G) Navigation (N) Control (C) Failure, Detection, Isolation, and Recovery (FDIR) Heath Monitoring (HM) KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 11 e Guidance and Optimal Trajectories ESA Guidance, Navigation, and Control Section Definitions “...GUIDANCE is the determination of the desired path of travel (trajectory) from the vehicle's current location to a designated target, as well as desired changes in velocity, rotation and acceleration for following that path..” “...Astrodynamics is the application of celestial mechanics to the practical problems concerning the motion of planetary bodies and spacecraft...” “...Celestial mechanics is the branch of astronomy that deals with the motions of celestial objects...” “...TRAJECTORY is the path of a vehicle in space...” KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 13 Guidance Engineer Work Profile Disciplines Interplanetary Mission Arcs Loitering Propulsion Rendezvous Structures Entry Ascent Aerodynamics Systems Optimization Software design and development Informatics skills Mathematical modeling KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems Technologies 14 Johannes Kepler “3 laws” -> Year 1609 “...The orbit of every planet is an ellipse with the sun at a focus...” “...A line joining a planet and the Sun sweeps out equal areas during equal intervals of time...” “...The square of the orbital period of a planet is directly proportional to the cube of the semimajor axis of its orbit...” KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 15 Isaac Newton “3 laws” -> Year 1687 “...An object at rest tends to stay at rest and that an object in uniform motion tends to stay in uniform motion unless acted upon by a net external force...” “...An applied force on an object equals the rate of change of its momentum with time...” “...For every action there is an equal and opposite reaction...” KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 16 Albert Einstein “3 principles” -> Year 1905 “...The speed of light in the vacuum is always the same...” “...Energy is equivalent to matter...” “...The continuos space-time is curved by matter and energy...” KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 17 Orbital Geometry and Classic Elements Semimajor axis (a): distance between the geometric center of the orbital ellipse with the periapsis (point of closest approach to the central body), passing through the focal Eccentricity (e): shape of the ellipse, describing how flattened it is Inclination (i): tilt of the ellipse with respect to the reference plane, measured at the ascending node Longitude of the ascending node (Ω): horizontally orients the ascending node of the ellipse with respect to the reference frame Argument of periapsis (ω): defines the orientation of the ellipse in the orbital plane, as an angle measured from the ascending node to the semimajor axis True anomaly at epoch (ν): defines the position of the orbiting body along the ellipse at a specific time KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 18 Orbital Elements Apoaxis Orbital plane ν Ω ω i Vernal Equinox Equatorial plane Ascending node KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 19 Foundations of Trajectory Optimization Is the process of designing a trajectory that minimizes or maximizes some measure of performance within prescribed constraint boundaries Boundary conditions: initial conditions (launch pad), target orbit, return of rocket stages, staging conditions, visibility of ground stations, .... Path constraints: max. dynamic pressure, max. heat load, bending moment, max. acceleration, constraints on flight path... Performance Indices/Cost Functions: maximize payload, minimize fuel consumption, minimize cost ... KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 20 e Navigation and Estimation ESA Guidance, Navigation, and Control Section Definition NAVIGATION is the process to find the present and future position and orbit of a spacecraft using a series of measurements Step 1: MEASURING Obtaining state vectors (x, y, z, Vx, Vy, Vz,...) at timely intervals Step 2: DETERMINING Reconstructing the orbit based on a set of state vectors Step 3: PREDICTING Forecasting the imminent future state vector Measurements taken Orbit set computation Orbit set prediction Prediction Now Now Now Measures interval Measures interval Measures interval KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 22 Sensors: Optical Star tracker Provides precise 3-axis inertial attitude 10” from Lost in Space (star pattern recognition) Orbital position required for Earth pointing New generation: APS (CMOS) instead of CCD Earth sensor Autonomous CCD-Star Tracker Provides 2-axis attitude w.r.t. Earth Third axis = sun sensor or gyroscoping stiffness 0.03 deg GEO (radiance sensitivity) Scanning or static Scanning infra-red Earth sensor Sun sensor Provides 2-axis attitude w.r.t. Sun Either coarse analogue (acquisition) or fine digital Navigation camera Celestial body imaging and navigation algorithms KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 2-axis Digital Sun sensor 23 Sensors: Inertial, Magnetic Magnetometer Provides (coarse) magnetic field measurement Light and cheap sensor for acquisition in LEO Integrating gyros Provides integrated angular rate 3-axis magnetometer AMR High bandwidth and accuracy (but drift error) Possible hybrid with optical sensor (Kalman filter) Accelerometer Stand-alone or within IMU 4-axis Fiber Optic Gyroscope No space qualified European sensor Coarse rate sensors Provides angular rate <10 deg/h accuracy Light and cheap sensor for de-tumble, acquisition, short term attitude propagation KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 3-axis MEMS rate sensor 24 Estimation Techniques Deterministic Kalman-like estimation: Extended Kalman (EKF), Unscented Kalman (UKF), Ensemble Kalman (EnKF) Wiener estimator (WE) Particle filter estimators (PF) Method of moments (MoM) Minimum-variance unbiased estimator (MVUE) Stochastic Maximum likelihood estimators (ML) Bayes estimator (BE) Minimum mean squared error estimator (MMSE) Maximum a posteriori estimation (MPE) Markov chain Monte Carlo (MCMC) KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 25 e Spacecraft Control ESA Guidance, Navigation, and Control Section Objectives of advanced control techniques at ESA Ob1) Minimize the spacecraft propellant mass or overall mass, hence reducing mission cost Ob2) Increase the accuracy of the control when tracking or regulating the plant Ob3) Increase the agility of the spacecraft maneuvers Ob4) Facilitate the overall design process of the GNC subsystem, hence reducing mission cost KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 27 Attitude control Z yaw: ψ Y LOS α− α+ roll: φ Thruster 1 Pitch: θ X Thruster 2 α+ LOS α− KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 28 Spacecraft Pointing Control +X φ Roll +Z ψ +Y Yaw θ Pitch Tdist θref. + e Control law Satellite plant θreal Sensor Noise KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 29 Broad Control System Categories Disturbances Control Systems Inputs Regulators Plant variations Outputs (Constant) Noise Inputs Preliminary Design Criterion: Desired TRANSIENT RESPONSE Tracking Systems Disturbances Plant variations Outputs Noise Moving Plant Poles to the desired location Preliminary Design Criterion: Desired RAISING TIME KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 30 Actuators: Reaction Wheels Momentum capacity 10-40 Nms, Torque up to 0.1Nm (momentum exchange) Off-loading needs, microvibration issues Control Momentum Gyroscopes 12 Nms Reaction wheel Gyroscopic Torque: 5 to 45 Nm, provide satellite agility Propulsion High to low external torque capacity, used for orbit control and initial acquisition Efficiency Isp(s): Δm.g Isp = F.Δt = Msat.ΔV 400N main engine Types: Cold gas, hydrazine, bi-liquid Electric propulsion (high Isp, low thrust) Magnetic torquer Magnetic torquer Interaction with Earth magnetic field T= M x B LEO: acquisition/safe mode and RW off-loading w/o orbit perturbation (no force) CMG KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 31 Disturbances Disturbing torques strongly impact AOCS design Minimized by Platform design trade-offs Orbit and Platform configuration dependent: Aerodynamic torque/force: LEO k.exp(-altitude), (typically mNm at 600km (Solar Array) or align with velocity) Gravity gradient torque: LEO (GEO) 1/R3 (typically mNm at 600 km or get principal axis towards Earth) Magnetic torque: LEO (GEO) 1/R3 (typically 10 μNm with small residual magnetic momentum) Solar pressure torque/force: GEO (LEO) constant (typ. 10 μNm in GEO with 2 symmetrical Solar Arrays then 50 Nms wheel can provide gyroscopic stiffness) Generated by the Satellite: Micro-vibrations Propellant sloshing Orbit control thrusters: typically 1Nm KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 32 Advanced Control Techniques classified Multivariable Linear-Time-Invariant systems H-infinity, Structured Singular Value (SSV), Quantitative Feedback Theory (QFT), Model-Based Predictive Control (MPC), Linear Parameter Varying (LPV) Multivariable Non-Linear systems Non-Linear Dynamics Inversion (NDI), Feedback Linearization (FL), Sliding Mode Control (SMC), Numerical Optimization (NO), Fuzzy Logic Control and Neural Networks Control Control of Distributed Parameters Systems Human Control Systems KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 33 e Failure Detection, Isolation, and Recovery ESA Guidance, Navigation, and Control Section FDIR Different levels of complexity: Compromise between mission continuation and spacecraft safety Ensure smooth automatic reconfiguration in case of H/W anomaly Ultimately go to Sun pointing Safe Mode (mission outage but S/C safety) Implement or not independent sensors to monitor critical operations, in addition to the sensors and actuators in the loop Redundancy Branch A and branch B or single string Cross strapping between units to combine A and B units At unit level, or only electronics example: 4 Reaction Wheels in a skewed configuration 3 out of 4: 3 RW’s being sufficient for 3-axis torque generation False alarm risks tuning of the monitoring threshold and time constant to avoid false alarm Reliability Compute probability of success over the required lifetime, based on H/W units MTBF (Mean Time Between Failure) KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 35 Caution and Warning Performance factors to taken into account: controllability, stability, algorithm speed, computational loads, etc Predefined yellow (caution) and red tubes (warning) around the nominal path have been established to mean the controllability of the system around the pre-established optimal trajectory. In general, the FDIR system strategies shall be robust to the flight conditions at specific Mach numbers and dynamic pressures chosen by the control engineer along the complete flight path Real trajectory Caution tube Nominal trajectory KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems Warning tube 36 e Mission Vehicle Management ESA Guidance, Navigation, and Control Section Role of GNC analyst in a space project Identify relevant requirements, needs, and constraints Trade-off alternative mission scenarios to fulfill requirements Analyze system budgets Define a mission concept Sketch a mission time-line Share results and produce report KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 38 Space Project Phases Production-ground qualification testing Mission needs identification Detailed definition Feasibility Utilization Preliminary definition 0 A B ECSS-E-10 Disposal C D E F http://www.ecss.nl KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 39 Spacecraft MVM Life Cycle (zoomed) Orbit design, Equipment design, Modes design Control laws generation Modes transition Failure recovery Interactive simulations & animations for performance verification MVM Design Mission requirements and performances Analysis: Time & Frequency domains and stability Testing on ground Computer code generation Real processing on flight KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 40 e Earth Orbiting Spacecraft ESA Guidance, Navigation, and Control Section Telecommunications ~0.12° for absolute pointing (half cone, at antenna level) Mission Orbit type minimization of mission outage (back up modes before safe mode) Large solar arrays (flexible modes 0.01 Hz), transfer GTO to GEO Long lifetime (typ. 15 years) and harsh environment (radiations) Artemis Geostationary SMARTOLEV Geostationary EDRS Geostationary KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 42 Scientific satellites from 0.1° to <1 milliarcsec for absolute pointing Cutting edge missions with very specific requirements 70.000 Km 1.000 Km instrument as AOCS sensor Variety of orbits: LEO, GEO, Lagrange point L2 Mission Orbit type XMM Highly elliptical INTEGRAL Highly elliptical Earth limb sensor Fine Sun sensor 16 Thrusters Star tracker AOCS Quadrant star sensor 3-axis rate gyros 2 Sun acquisition sensors 4 Control wheels KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 43 Observing the Earth from 0.1° to 0.01° for absolute pointing Angular rate stability for image acquisition: typical 0.001 °/s, agility on-ground post-processing (image rectification and localization) LEO: eclipse and intermittent link with Control Centre Mission Orbit type Cryosat Highly elliptical Aeolus Circular, Sun Synchornous Goce Circular Sentinel Circular KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 44 Navigation ~0.2° for absolute pointing Yaw steering due to non sun synchronous orbit MEO: high level of radiations Mission Orbit type Galileo Constellation, circular EGNOS Geostationary EDRS Geostationary KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 45 e Entry, Descent, and Landing ESA Guidance, Navigation, and Control Section EDL Missions and GNC Type of entry: Ballistic: Normally spin stabilized to keep desired attitude ARD (ESA) No active control (no thrusters) Controlled Using thrusters and/or aerodynamics surfaces Huygens (ESA) GNC design based on mission features, constraints, and requirements IXV (ESA) X-38 (ESA and NASA) KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 47 EDL Mission Sequence and Problem Description Vehicle features De-orbit Initial boundary constraints Entry gate Path constraints Path constraints Entry TAEM Descent Mars environment conditions Landing point Landing Final boundary constraints KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 48 Definitions Trajectory optimization of entry trajectories Ballistic or controlled Foot prints and landing ellipses Equilibrium glide Path constraints and boundary constraints maximum dynamic pressure maximum heat-flux maximum acceleration angle of attack (Mach-dependent) control reserve (equilibrium glide) Performance indices: minimum heat-load maximum safety KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 49 Crew Rescue Vehicle Development of the control laws for automatic re-entry vehicle type CRV trajectory control Alt. 120 Km Roll maneuver 90 Km End of RCS; start rudder attitude control 30 Km Control target Easy control in all possible regions of the flight Cut-down cost for GNC adjustment to new lading sites 10 Km Parachute deployment 3 Km 400 s 800 s GPS SPS or PPS Thruster activation FADS 3-axis accelerometer 1600 s Time GNC 3-axis rate gyro KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems Flaps, rudder deflections Parachute controls 50 e Rendezvous and Formation Flying ESA Guidance, Navigation, and Control Section Rendezvous Missions and GNC Designed to approach two spacecraft and mate them Circular or elliptical rendezvous Circular rendezvous governed by the Clohessy-Wiltshire equations. Elliptical much difficult HTV (JAXA) Uses a special coordinate system: Local Vertical Local Horizontal Progress (Rosscosmos) Need a high accurate sensing suite Need spacial propulsion systems to accurate position and slew the vehicle ATV (ESA) KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 52 Automatic Transfer Vehicle Development of the control laws for automatic rendezvous and docking of servicing vehicles: ISS docking port target Flight Direction trajectory control V-bar 7000 m attitude control Control target Soft docking and structural latching operations R-bar 2000 m More performance in the follow-up of the target docking port of the station KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems S1 S0 Local Vertical Local Horizontal coordinate system 53 Comparisons: ATV, Progress, Apollo KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 54 ATV rendezvous with ISS ISS docking port target S5 S3 S4 500 m Flight Direction S2 2500 m 6000 m V-bar Local Vertical Local Horizontal coordinate system ATV 2000 m S1 S0 [-20000 m, 0 m, 10000 m] R-bar KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 55 e Interplanetary Space Vehicles ESA Guidance, Navigation, and Control Section Interplanetary Vehicles and GNC Fly-by between planets Mid-course correction maneuvers Optimal pointing of antennae to ground stations Venus Express Station keeping in Lagrangian points Rosetta Mars Express KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 57 Missions Examples High pointing accuracy on attitude stabilization Agility on attitude slew Mission Orbit type ExoMars Ascent, loitering, interplanetary, entry Mars Sample Return Ascent, loitering, interplanetary, entry, rendezvous Moon Lander Ascent, loitering, interplanetary, entry, rendezvous Human Mission to Mars Ascent, loitering, interplanetary, entry, rendezvous KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 58 Missions Examples Very high accuracy in terms of attitude stabilization and control (case of LISA) Hard survival environment for vehicles very closed to the Sun (case of SOLO) Very long periods of trip and quick and frequent maneuvers coupling attitude and trajectory KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 59 e Launchers ESA Guidance, Navigation, and Control Section GNC for launchers Trajectory optimization of nominal ascent trajectories Performance maps of rockets Optimization of non-nominal trajectories: missionization Mission Nominal Splash down of stages Stages fragmentation analysis and splash down locations Ariane-5 Soyuz Impact Z9 Vega Heavy Lift Launcher Impact Z23 Impact P80 KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 61 ESA rocket family KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 62 GNC of a Small Rocket KeyNote: Dresdner Automatisierungstechnischen Kolloquien. Monday 27th January 2014 - ESA Guidance, Navigation, and Control Systems 63 Thank you for your attention esa.int Problems in Space Engineering ESA UNCLASSIFIED – For Official Use 64