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Kepler Dust Cover Ejection Event Design and Optimization

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Presentation on theme: "Kepler Dust Cover Ejection Event Design and Optimization"— Presentation transcript:

1 Kepler Dust Cover Ejection Event Design and Optimization
Based in Boulder, Colorado, Ball Aerospace & Technologies Corp. is a subsidiary of Ball Corporation. Ball Aerospace is a leader in design, development and manufacture of innovative aerospace systems. We produce spacecraft, instruments and sensors, RF and microwave technologies, data exploitation solutions and a variety of advanced aerospace technologies and products that enable exciting missions. Ball Aerospace is the prime contractor for NASA’s Kepler Mission to search for rocky, Earth-sized planets around other stars. Ball Aerospace built the photometer and spacecraft, and managed the system integration and testing for the Discovery Class mission. Ball Aerospace employed its instrument expertise from successes such as Hubble Space Telescope in the photometer for Kepler and the spacecraft design used in Deep Impact for providing power, communications and telescope pointing. Chris Zeller and David Acton Ball Aerospace & Technologies Corp.

2 Outline Kepler mission overview Summary of problem
How and why project used AGI software Optimizing dust cover release attitude Key risk reductions from using AGI software Kepler mission overview Summary of problem Trajectory description Dust cover description How and why Kepler project used AGI software Model description, including validation Optimizing dust cover release attitude Sensitivity analysis using Analyzer Monte Carlo Sensitivity analysis for launch date Key risk reductions from using AGI software

3 Kepler mission overview
Planet transit NASA mission launched March 2009 Search for Earth-size planets In/near habitable zone of solar-like stars Highly sensitive photometer Continuously and simultaneously measures brightness of >100k stars Flight segment design and fabrication at Ball Aerospace & Technologies Corp. Scientific Operations Center at NASA Ames Research Center Mission Operations Center at LASP – University of Colorado Variation in star brightness indicates planet transit NASA Discovery class mission launched in March 2009 Designed to search for Earth-size planets in or near habitable zone of solar-like stars Uses highly sensitive photometer to continuously and simultaneously measure variation in brightness of over 100,000 stars Detects planet when it crosses in front of star – called a “transit” Only a single star field in Cygnus-Lyra region, near galactic plane, is monitored Mission life is 3.5 years nominal, extendable to at least 6 years Scientific Operations Center at NASA Ames Research Center Mission Operations Center at Laboratory for Atmospheric and Space Physics (LASP) – University of Colorado Flight segment design and fabrication at Ball Aerospace & Technologies Corp.

4 Summary of problem Ensure ejected photometer dust cover (DC) does not return to strike flight segment (FS) Determine release attitude to maximize FS-to-DC distance over mission duration Must meet power, telecom, and sun-avoidance constraints Ensure validity of solution considering uncertainties DC ejection direction and velocity DC surface properties DC release date Note that the concern is long-term return, not short term

5 Kepler trajectory description
Helio-centric Earth-trailing orbit avoids obscurations ~0.5 AU range from Earth after 4 years No traditional V maneuvers required Periodic reaction wheel desaturations Via RCS thruster pulses Small but measurable effects on trajectory STK excellent modeling fit Kepler launched into helio-centric Earth-trailing orbit to avoid obscurations Science target above ecliptic plane to avoid bright solar system objects Flight segment reaches approx. 0.5 AU range from Earth after 4 years No traditional V maneuvers required Periodic reaction wheel desaturations, via RCS thruster pulses, have small but measurable effect on trajectory STK excellent for modeling effects of small forces

6 Dust cover design and release
Protects photometer Contamination prior to, and during launch Stray/direct sunlight during launch and early commissioning Deployment mechanism Single latch, single fly-away hinge, and pre-loaded screws Nominal release Along vector ~ 8º from sunshade normal, towards hinge side Relative velocity ~0.5 m/sec Variations must be considered Constraints on release attitude Power Telecom Photometer Sun-Avoidance Note that the dust cover is ejected, not retained with the flight segment. That is why re-contact after the initial drift-away is being analyzed. Dust cover is not small or light. If it were to impact the flight segment, severe damage would result. Protects photometer from contamination prior to, and during launch Protects photometer from stray or direct sunlight during launch and early commissioning Deployment mechanism uses single latch, single fly-away hinge, and pre-loaded screws to store deployment energy Cover is nominally released along vector approx 8º from sunshade normal, towards hinge side, at relative velocity of approx 0.5 m/sec Variation in these values must be taken into account Constraints on release attitude Power (minimum angle to solar array normal) Telecom (minimum angle to low-gain antenna boresight) Photometer Sun-Avoidance (no sun within hemisphere around sunshade normal)

7 STK allowed efficient and accurate analysis for important Kepler issues
STK as standard trajectory modeling and analysis tool Chosen early in the project Ease of use, flexibility, visualization, accuracy, and familiarity to analysts Used for a variety of analyses Power estimates, telecom range and angles for duration of mission Initial Acquisition timing and angles Deep Space Network station view periods Optimization of quarterly roll windows Verification of commissioning attitudes Dust Cover Ejection event (this presentation) Allowed validation of similar customer analyses This analysis – STK Professional, Astrogator, Chains, and Analyzer Astrogator provided unique features to tailor deep space analysis STK chosen early as standard trajectory modeling and analysis tool for Kepler Factors included ease of use, flexibility, visualization capabilities, accuracy, and familiarity to analysts Used for a variety of analyses including Power estimates, telecom range and angles for duration of mission Initial Acquisition timing and angles Deep Space Network station view periods Optimization of quarterly roll windows Verification of commissioning attitudes Dust Cover Ejection event (this presentation) Provided means to validate similar analyses performed by customer This analysis made use of STK Pro, Astrogator, Chains, and Analyzer Astrogator provided unique features to tailor the deep space analysis Propagator selection, math models, bodies, and planetary ephemeris Transitions between spheres of influence Modeling reaction wheel desaturation events as a loop Solar radiation pressure

8 Baseline trajectory model
Trajectory modeled using Astrogator Initial conditions at launch vehicle separation Near-Earth perturbations with Earth-moon gravity model Dust cover separation reaction modeled as a maneuver Desaturation burns (every 3 days) using sequence loops Deep Space propagation (6 years) Kepler-Earth body-body rotating reference frame

9 Validation of the STK Kepler model
Validated model with JPL Navigation Team’s MONTE Tool Tailored Astrogator propagator to determine which physics to model Updated STK to latest planetary ephemeris to match JPL inputs Final result – highly accurate STK trajectory model Range Difference Between JPL and STK Solutions Selected Propagator: Earth J2 with Moon + Sun 3rd bodies Heliocentric + all 9 planets after 9.25E+5 km from Earth Range (km) Alternate Selection: Earth HPOP + Sun/moon 3rd bodies Heliocentric + all 9 planets after 9.25E+5 km from Earth Validated model with JPL Navigation Team’s MONTE Tool Tailoring of Astrogator propagator very helpful in determining which physics to model Updated STK to latest planetary ephemeris to match JPL inputs Final result was a highly accurate STK trajectory model Days After Release Validation was essential to provide customer confidence in solution

10 Features of the dust cover ejection model
Coordinate system selected for fixed attitude with respect to Sun Provided fixed constraints for photometer sun-avoidance & power STK Vector Geometry Tool validated antenna, star tracker, photometer FOV constraints Target pointing attitude selection used to determine release attitude Baseline DC trajectory returned towards FS several times Oscillatory behavior Suggested we perform optimization and sensitivity analyses VNC(Sun) = Velocity, Normal, Co-Normal, centered on Sun Coordinate system selected to provide fixed attitude with respect to Sun VNC(Sun) coordinates provided fixed constraints for photometer sun-avoidance and power STK Vector Geometry tool used to validate antenna, star tracker and photometer FOV constraints Target pointing attitude selection used to determine release attitude Baseline DC trajectory was oscillatory, returning towards flight segment several times This behavior suggested we perform optimization and sensitivity analyses

11 Analyzer Carpet Plot was generated to optimize release directions
Appropriate Figure-of-Merit was crucial Oscillatory behavior of DC motion required careful FoM choice FoM chosen as minimum range after initial “drift-away” period Note: Not all options were good ones

12 Optimum release direction
Optimal release direction maximized minimum range But did not meet Earth and Sun constraints Selected next best option Nominal minimum range after drift away is 40,820 km Desaturation impulses help Tend to push FS away from DC over time Attitude computation Target Pointing attitude and custom reports used to compute VNC-Body quaternion Optimal release direction found to maximize minimum range Optimum direction did not meet Earth and Sun constraints Selected direction was the next best option Nominal minimum range after drift away is 40,820 km Desaturation impulses tend to push FS away from DC over time Attitude computation Target Pointing attitude and custom reports used to compute VNC-Body quaternion

13 Sensitivity analysis using Analyzer
Monte Carlo tool to investigate variations in parameters Release angle, release velocity, and DC reflectivity Verified large minimum range met under even 3 conditions Reduced risk that inaccuracy in any one parameter could throw us “off the cliff” Monte Carlo tool used to investigate sensitivity of DC-FS range to variations in parameters Release angle, release velocity, and DC reflectivity Verified that large minimum range could be met under even 3 conditions Reduced risk that inaccuracy in any one parameter could throw us “off the cliff”

14 Sensitivity analysis for DC release date
Reduce impact of commissioning schedule changes Necessary to run manually Analyzer could not handle variations in epoch dates Determined release date variations acceptable Within range of dates considered Dust cover successfully released on April 8, 2009 Sensitivity to DC release date was examined to reduce impact due to risk of commissioning schedule changes Necessary to run manually Analyzer could not handle variations in epoch dates Determined that variations in DC release date were acceptable within range of dates considered NOTE: It is important to note that the plot does not show the actual DC-FS range for the particular release date. Rather it shows the difference between the DC-FS range over time resulting from the given release date, versus the range over time resulting from the baseline release data of March 28, 2009. Worst Case DC-FS range > 40,000 km

15 STK provided key risk reduction for dust cover ejection
STK allowed efficient analyses of complex problem Reduced cost and time to address important Mission Design concern Ability to fine-tune trajectory estimates during independent validation with customer solutions lowered risk of errors Cost-benefit of Analyzer was important Significantly reduced time for optimization and Monte Carlo analyses 3D visualization provided simple visual verification of all results Lowered risk of violating flight rules Easy to communicate results across program and to stakeholders STK tools allowed efficient analyses of this complex problem Saved cost and reduced time to address an important Mission Design concern Ability to fine-tune trajectory estimates during independent validation with customer solutions lowered risk of errors Cost-benefit of Analyzer was important Significantly reduced time for optimization and Monte Carlo analyses, versus manual execution of all cases 3D visualization provided simple visual verification of all results Lowered risk of violating flight rules Easy to communicate results across program and to stakeholders

16 Acknowledgements AGI Tech Support Ball Aerospace colleagues
For their helpful dedication and long hours helping sort out the best way to approach the problem Jeff Baxter Dana Oberg Luis Montano Ball Aerospace colleagues For their insightful consultation Scott Mitchell Adam Harvey

17 Contact information Chris Zeller Senior Systems Engineer Ball Aerospace & Technologies Corp. Boulder, Colorado David Acton


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