Solar Sail. Department of Aerospace Engineering and Mechanics AEM 4332W – Spacecraft Design Spring 2007. Team Members. Solar Sailing:. Project Overview. Design Strategy. Trade Study Results. Orbit. Eric Blake Daniel Kaseforth Lucas Veverka. Eric Blake.
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Solar Sail Department of Aerospace Engineering and Mechanics AEM 4332W – Spacecraft Design Spring 2007
Eric Blake Optimal Trajectory of a Solar Sail: Derivation of Feedback Control Laws
Recall Orbital Mechanics • The state of a spacecraft can be described by a vector of 6 orbital elements. • Semi-major axis, a • Eccentricity, e • Inclination, i • Right ascension of the ascending node, Ω • Argument of perihelion, ω • True anomaly, f • Equivalent to 6 Cartesian position and velocity components.
Solution • Iterative methods are needed to calculate co-state boundary conditions. • Initial guess of the co-states must be close to the true value, otherwise the solution will not converge. • Difficult • Alternative: Parameter Optimization. • For given state boundary conditions, maximize each element of the orbital state by an appropriate feedback law.
Locally Optimal Trajectories • Example: Use parameter optimization method to derive feedback controller for semi-major axis reduction. • Equations of motion for a: Feedback Law: Use this procedure for all orbital elements
Global Optimal Solution • Although the method of patched LSL’s is not ideal, it is a solution that is close to the optimal solution. • Example: SPI Comparison of LSL’s and Optimal control.
Conclusion • Continuous thrust problems are common in spacecraft trajectory planning. • True global optimal solutions are difficult to calculate. • Local steering laws can be used effectively to provide a transfer time near that of the global solution.
Jon T. Braam Structures Group: Primary Structural Materials Design Layout 3-D Model Graphics
Primary Structural Material Weight and Volume Constraints • Delta II : 7400 Series • Launch into GEO • 3.0 m Ferring • Maximum payload mass: 1073 kg • Maximum payload volume: 22.65 m3 • 2.9 m Ferring • Maximum payload mass: 1110 kg • Maximum payload volume: 16.14 m3
Primary Structural Material Aluminum Alloy Unistrut • 7075 T6 Aluminum Alloy • Density • 2700 kg/m3 • 168.55 lb/ft^3 • Melting Point • ? Kelvin Picture of Unistrut
Primary Structural Material • Density • Mechanical Properties • Allowing unistrut design • Decreased volume • Thermal Properties • Capible of taking thermal loads
Design Layout • Constraints • Volume • Service task • Thermal consideration • Magnetic consideration • Vibration • G loading
Design Layout • Unistrut Design • Allowing all inside surfaces to be bonded to • Titanium hardware • Organization • Allowing all the pointing requirements to be met with minimal attitude adjustment
Design Drivers • Meeting mission pointing requirements • Meet power requirements • Meet mass requirements • Cost • Miscellaneous Factors
Trade Study • Sliding Mass vs. Tip Thruster Configuration • Idea behind sliding mass
Trade Study • Sliding mass ACS offers • Low power consumption (24 W) • Reasonable mass (40 kg) • Low complexity • Limitations • Unknown torque provided until calculations are made • No roll capability • Initially decided to use combination of sliding mass and tip thrusters
ADCS System Overview • ADS • Goodrich HD1003 Star Tracker primary • Bradford Aerospace Sun Sensor secondary • ACS • Four 10 kg sliding masses primary • Driven by four Empire Magnetics CYVX-U21 motors • Three Honeywell HR14 reaction wheels secondary • Six Bradford Aero micro thrusters secondary • Dissipate residual momentum after sail release
ADS • Primary • Decision to use star tracker • Accuracy • Do not need slew rate afforded by other systems • Goodrich HD1003 star tracker • 2 arc-sec pitch/yaw accuracy • 3.85 kg • 10 W power draw • -30°C - + 65 °C operational temp. range • $1M • Not Chosen: Terma Space HE-5AS star tracker
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