TPF-I SWG Report - Exoplanet Exploration Program - NASA
TPF-I SWG Report - Exoplanet Exploration Program - NASA
TPF-I SWG Report - Exoplanet Exploration Program - NASA
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C HAPTER 6<br />
Table 6-1. Comparison of 2005 Flight Requirements with Pre-Phase A Nulling Testbed<br />
Requirements<br />
Technology Specifications Performance to Date Performance<br />
target prior to<br />
Phase A<br />
Flight<br />
Performance<br />
(Preliminary)<br />
Starlight Suppression<br />
Formation Flying<br />
Average null depth<br />
0.5 × 10 -5 (25 % BW)<br />
5.0 × 10 -7 (laser)<br />
Less than<br />
1 × 10 -6 *<br />
Amplitude control 0.2 % 0.12% 0.13<br />
Less than<br />
7.5 × 10 -7 *<br />
Phase control 2.0 nm 2.0 nm 1.5 nm<br />
Stability timescale Not tested 5,000 s > 50,000 s<br />
Bandwidth 8.3–10.7 μm (25%) 8.3–10.7 μm (25%) 7–17 μm<br />
Number of s/c 2 robots 3 robots 5 s/c<br />
Relative control<br />
7-cm range, 80-arcmin<br />
bearing<br />
5 cm range, 60<br />
arcmin bearing<br />
* The new stretched X-array design relaxes both these null depth requirements to 1 × 10 -5 .<br />
2-cm range, 20-<br />
arcsec bearing<br />
Planet Extraction: Using the Planet Detection Testbed (PDT), demonstrate extraction of a simulated<br />
(laser) planet signal at a star/planet contrast ratio of ≥ 10 6 for a rotation of the flight formation lasting ≥<br />
5000 s. Accompany these results with a control system model of the Planet Detection Testbed, validated<br />
by test data, to be included in the control system model of the flight-instrument concept. Success shows<br />
flight-like planet sensing at representative stability levels within a factor of 20 of the contrast at 1/10 the<br />
flight observation duration. Gate TRL 5.<br />
Dispersion Control at Temperature: Using the Adaptive Nuller, demonstrate that optical beam<br />
amplitude can be controlled with a precision of ≤ 0.2% and phase with a precision of ≤ 5 nm over a<br />
spectral bandwidth of > 3 μm in the mid IR for two polarizations at ≤ 40 K. Accompany these results<br />
with a model of the Adaptive Nuller, validated by test data, to be included in the model of the flightinstrument<br />
concept. This demonstrates the approach for compensating for optical imperfections that<br />
create instrument noise that can mask planet signals at the temperature required for flight operations.<br />
Gate TRL 5.<br />
6.1.2 Formation Flying Gates<br />
Formation Flying (5-Spacecraft Simulation With Fault Recovery): Using the Formation Algorithms<br />
& Simulation Testbed, simulate the safing and recovery of a five-spacecraft formation subjected to a set<br />
of typical spacecraft faults that could lead to mission failures unique to formation flying such as<br />
collisions, sensor faults, communication drop-outs, or failed thrusters in on or off states. Simulations can<br />
be limited to single-fault scenarios. This demonstrates the robustness of formation control architecture, as<br />
well as fault-tolerance of the on-board formation guidance, estimation, and control algorithms to protect<br />
against faults that have a reasonable probability of occurring sometime during the <strong>TPF</strong>-I prime mission<br />
and that are unique to <strong>TPF</strong>-I’s unprecedented use of close formation flying. Gate TRL 5.<br />
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