ALIGO QUAD "Level 2" Damping Loop Design (Supplemental to LLO aLOG 6949)LLO aLOG 6949 J. Kissel G v21.

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Presentation transcript:

aLIGO QUAD "Level 2" Damping Loop Design (Supplemental to LLO aLOG 6949)LLO aLOG 6949 J. Kissel G v21

2 aLIGO QUAD "Level 2" Damping Loop Design Mission Statement The damping loops installed during the SUS testing phase merely to prove that the suspensions could be damped damped quickly and robustly little-to-no regard to re-injection of sensor noise very aggressive, but poorly placed elliptic filters to rolloff noise The mission here was to design a set of loops, that doesn’t take you years to design and tweak isn’t on the hairy edge of instability doesn’t require any “Brett Shapiro” trickery (damping in Modal, Global bases) doesn’t require and new infrastructure (which Modal and Global damping would), but still designed with what modeling experience we’ve gained gets us close to what we’ll need for aLIGO, primarily focusing on Longitudinal will be sufficient for the first several stages of integrated testing Level 1 Level 2

Stability: Bode plots of Open and Closed Loop Gain Transfer Functions Cross-Coupling: The above, Modeled both as SISO and MIMO systems, the below as MIMO Modeled Performance: Compute all DOF’s of Top Mass sensor noise contribution to Test Mass degree of freedom of interest Compare: with other noise sources, requirements, etc. Measured Performance: With what we can: Closed Loop TOP2TOP Open and Closed Loop TFs, TOP Sensor ASDs, TOP Control Signal ASDs G v23 Damping Loop Design Model Figures of Merit

Damping Loop Design Stability (New Filters) Open Loop Gain TF: SISO Model = P L * K L MIMO Model = Full State Space System Close Loop Gain: SISO Model = P L / (1 - G L ) MIMO Model = Full State Space System Suppression: SISO Model = 1 / (1 - G L ) Plant: SISO Model = P L Controller: SISO Model = K L G v24 Unconditionally Stable Elliptic first, then rolloff Boost on low-frequency modes to reduce RMS Not-so-high-Q Elliptic Filter Not just velocity damping anymore: [z:p]=[~1:~10] Hz pair for more phase with which to play

Damping Loop Design All DOF’s TOP Sensor Noise Contribution (New Filters) G v25 Sensor noise contributions to L Test Mass 10Hz [m/rtHz]: L2L = 2.0e-19 R2L = 1.1e-19 P2L = 8.7e-20 T2L = 5.0e-20 L Reqs = 1e-20 When you start carving out the L contribution to L Test Mass Motion, P, R, and T’s contribution are there waiting for you too! T and R loops are harder to design, because their last resonances are higher in frequency, so can’t be as aggressive with noise roll-off 4 th “L” resonsance is a mess of L, T, R, and P

G v26 Damping Loop Design Compare with other Noises (New Filters) Longitudinal BOSEM Sensor Noise still dominates between Hz PUM Actuator Noise finally takes over at 30 Hz Residual Seismic Noise Dominates below 1 Hz But… Now only a factor of away from residual seismic, instead of

G v27 Vertical DOF is also dominated by sensor noise at 10 Hz, and could play a role assuming the [m/m] coupling over the 4km arms Damping Loop Design Compare with Cavity Displacement (New Filters)

TOP Mass ON/OFF Spectra (New Filters) G v28 Lowest L/P Modes gave us grief in the H2OAT [rad] Longitudinal Pitch BUT, ISI is only damped in this measurement, so we’ll probably be fine (as we were once the l.f. performance of the ISIs were tuned) 0.43 Hz 0.56 Hz 0.43 Hz 0.56 Hz

Level 1 vs. Level 2 G v29 Old Sensor Noise takes over at ~0.5 Hz New Sensor Noise takes over at ~1.0 Hz Old 0.43 Hz mode from Res. Seis. is squashed entirely New 0.43 Hz mode from Res. Seis. has a Q of ~10-50, but still not dominating the RMS Old Sensor Noise is 1.3e Hz New Sensor Noise is 2.0e Hz New Sensor Noise is a factor of ~5 better than Old Sensor Noise in between resonces

G v210 Level 1 vs. Level 2 Old 0.43 Hz mode from Res. Seis. is squashed entirely New 0.43 Hz mode from Res. Seis. has a Q of ~10-50, but still not dominating the RMS Old Sensor Noise takes over at ~0.5 Hz New Sensor Noise takes over at ~1.0 Hz New Sensor Noise is a factor of ~5 better than Old Sensor Noise in between resonces

G v211 TOP to TOP Mass Transfer Function New Filters Old Filters No Damping Model Qs of resonances increased only by a factor of ~10 Level 1 vs. Level 2

G v212 Can’t measure Test Mass noise improvement directly yet… If sensor noise dominates above 1 Hz both before and after, then TOP control signal should be ~100 times less at 10 Hz. And it is! Level 1 vs. Level 2

Remaining Questions Is it worth keeping Level 1 around? – (As I installed it at L1 ITMs, I removed Level 1) Tradition to have the overall gain “tunable” as an EPICs variable. Should it be absorbed in the filter banks? Would like to look into – Stability of loops if gains are increased to improve ring- down-time (more tradition) – Should build infrastructure / standard plot for quantifying ring down G v213

Bonus Material For the Curious G v214 Remember, for even more text, plots, details see LLO aLOG 6949LLO aLOG 6949

G v215 Damping Loop Design OLD Filters

G v216 Damping Loop Design NEW Filters

Seismic Input Motion G v217 In the absence of real, best-possible performance data from the BSC-ISIs, there are a few choices for Residual Ground Input Motion to the QUAD: - Use the Requirements for all DOFs - Use M. Evans’ Model of the “Translation” (same for X, Y, Z) and “Rotational” (same RX, RY, RZ) - Use not-yet-awesome, but real H2OAT data (different for every DOF, and even between ISIs) We know every degree of freedom will be different, so I don’t like using the Reqs. We know the very low frequency data of the H2OAT data is all tilt (if not sensor noise), and we know the mid-frequency band will be better So I went with Matt’s Model since it seems to fold in the most (optimistic?) realism

G v218 Sensor noise contributions to L Test Mass 10Hz [m/rtHz]: L2L = 1.3e-17 P2L = 3.1e-18 R2L = 2.8e-19 Reqs = 1e-20 Damping Loop Design All DOF’s TOP Sensor Noise Contribution (Old Filters)

G v219 Damping Loop Design Compare with other Noises (Old Filters)

G v220 Damping Loop Design Compare with Cavity Displacement (Old Filters)

Measured Open Loop Gain TF (New Filters) G v221

G v222 Damping Loop Design Proof that MIMO Matters!! SISO Model MIMO Model

QUAD Performance Modeling All the bits and pieces Test Mass Displacement Top Mass Sensor Noise Actuator Noise Damping Loop Design Suspension Point Residual Seismic Noise UI Mass Actuator Noise PU Mass Actuator Noise Steps to computing test mass motion: - Measure / compute every DOF of input noise at every stage - Propogate each stage input DOF to single test mass DOF of interest for cavity (i.e. longitudinal) using SUS model - Add each stage’s input DOF contribution in quadrature G v223