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E-ELT vibration modeling, simulation, and budgeting B. Sedghi and M. M¨ uller and G. Jakob 15 April 2016

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Page 1: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

E-ELT vibration modeling, simulation, andbudgeting

B. Sedghi and M. Muller and G. Jakob

15 April 2016

Page 2: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

E-ELT

Page 3: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

E-ELT

I Alt-Az structure each '2000 T

I Altitude supported anddriven on cradles

I Azimuth supported anddriven on two rings

Page 4: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

E-ELT

I 5 mirrors

I M1 (40-m class) asphericalsegments (798 hexagons of1.4-m)

I M2 and M3 convex andconcave aspherical: activeposition and shape control

I M4: adaptive mirror

I M5: compensate image motion(field stabilization)

I Nasmyth platforms:instruments and on-skymetrology for wavefront control

Page 5: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Outline

I E-ELT modeling, analyses and simulation approach (3 maintoolkits)

I Active Optics and Phasing Toolkit (ray-tracing, see Henri)I Adaptive Optics Toolkit (Octopus, see Miska)I Telescope and Hosting units Dynamical and Control Toolkit

I Vibration modeling, simulation and budgetingI Example: vibrations at Nasmyth platform

Page 6: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Outline

I E-ELT modeling, analyses and simulation approach (3 maintoolkits)

I Active Optics and Phasing Toolkit (ray-tracing, see Henri)I Adaptive Optics Toolkit (Octopus, see Miska)I Telescope and Hosting units Dynamical and Control Toolkit

I Vibration modeling, simulation and budgetingI Example: vibrations at Nasmyth platform

Page 7: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Modeling, Analyses and Simulation: Philosophy

Objective: Analyze impact of various error sources, e.g. gravity,temperature, wind, vibration, atmosphere

Objective: not only to predict the performance of the telescope

I error budgeting

I derive requirements for subsystems

I understand the behavior of the sub-units in the telescope

I evaluate various control strategies

Page 8: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Modeling, Analyses and Simulation: Philosophy

Objective: Analyze impact of various error sources, e.g. gravity,temperature, wind, vibration, atmosphere

Objective: not only to predict the performance of the telescope

I error budgeting

I derive requirements for subsystems

I understand the behavior of the sub-units in the telescope

I evaluate various control strategies

Page 9: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Modeling, Analyses and Simulation: Philosophy

I Differences in temporal and spatial frequencies of theperturbations

I Time scale differences in dynamics and control loops

Splitting the analyses and simulation environments ⇒I provides more flexibility to adjust models to dedicated

purposes

I reduce the computational effort

Page 10: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Modeling, Analyses and Simulation: Philosophy

I Differences in temporal and spatial frequencies of theperturbations

I Time scale differences in dynamics and control loops

Splitting the analyses and simulation environments ⇒I provides more flexibility to adjust models to dedicated

purposes

I reduce the computational effort

Page 11: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Modeling, Analyses and Simulation: Toolkits

FE Analysis

Ansys

model

Dynamical

Control

Analytical

AO models

Raytracing Octopus

Dyn

amic

al m

odel

Static Phase Maps

Sta

tic P

has

e M

aps

Times Series of

- Rigid Body Motions

- Mirror Deformations

WFE Time Series

(based on Zernikes)

Static results:

- Rigid body

motions

- Deform

ations

Loads:-Gravity

-Thermal

-Wind

Dynamical Perturbations :- Wind load

- Sensor / Actuator noise

Linear Optical Models(Optical sensitivities)

Perturbations:- Polishing residuals

- Aligment tolerances

- Actuator accuracy and

resolution

- Atmosphere

- Error budget

- Stroke

budget

AO

performance

Wavefront Conrol Strategy:

-Active optics

-Aligment

Phase M

aps Tim

e S

eries

(including segm

ent ph

asing errors)

FE Analysis

Ansys

model

Dynamical

Control

Analytical

AO models

Raytracing Octopus

Dyn

amic

al m

odel

Static Phase Maps

Sta

tic P

has

e M

aps

Times Series of

- Rigid Body Motions

- Mirror Deformations

WFE Time Series

(based on Zernikes)

Static results:

- Rigid body

motions

- Deform

ations

Loads:-Gravity

-Thermal

-Wind

Dynamical Perturbations :- Wind load

- Sensor / Actuator noise

Linear Optical Models(Optical sensitivities)

Perturbations:- Polishing residuals

- Aligment tolerances

- Actuator accuracy and

resolution

- Atmosphere

- Error budget

- Stroke

budget

AO

performance

Wavefront Conrol Strategy:

-Active optics

-Aligment

Phase M

aps Tim

e S

eries

(including segm

ent ph

asing errors)

Page 12: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Dynamical Toolkit: Vibration

One of the main contributors to the wavefront error: ’Vibrations’

I Excitations resulting from different equipments on theobservatory

I Forces ⇒ exciting the mechanical resonant modes of thetelescope structure and hosted units

I Transmitted through the mechanical structure ⇒ WFE

Page 13: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Vibration error budget

I total: 50 [nm] rms for all vibration sources

I top down ad-hoc allocation

I dynamical model of telescope structure/hosted unit + opticalmodel + control model

⇒ Sensitivity Analysis

identify the most sensitive units (contributors), sources andrespective frequency zones

Page 14: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Vibration error budget

I total: 50 [nm] rms for all vibration sources

I top down ad-hoc allocation

I dynamical model of telescope structure/hosted unit + opticalmodel + control model

⇒ Sensitivity Analysis

identify the most sensitive units (contributors), sources andrespective frequency zones

Page 15: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Approach: Sensitivity analysis

1. deriving the frequency responses from the potential vibrationsources at different locations in the telescope to the opticalwavefront error

2. identification or estimation of potential vibration sourcesfrequency and amplitudes

Page 16: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Sensitivity analysis: Modeling

Finite Element Model (FEM) ofstructure + hosted units

I Dome and Main Structure: mainly input fromtelescope pier

I Instruments: six instruments located at theNasmyth platforms

I Prefocal stations (PFS): two input sources

I Laser Guide Stars (LGS): four laser units at thelocation of the launching telescopes

I M2 to M5 units: separate input source at thecenter of gravity of each unit

I M1 unit: More than hundred electronicconcentrator cabinets uniformly distributed overthe M1 cell structure

Page 17: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Sensitivity analysis: Modeling

I FEM: telescope structure + detailed model of M2 and M3units

I 7000 modes (14000 states)I Inputs: three directional forces in [N]

I six instruments at Nasmyth A and B platformsI four laser headsI mirror units M2 to M5I electronic cabinets distributed over M1 unitI at telescope pier: three directional motions instead of forces

I Outputs:I six rigid body motions of each mirror unitsI interface motions of telescope structure to the hosted units

I Optical model: sensitivity matrix

I Control model: rejection responses of main control loops, e.g.main axes servo, field stabilization, AO loops

Page 18: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Sensitivity analysis: Simulation

I Model order reduction for selected inputs-outputs: state-spacemodels (400 states)

I both time simulation and frequency analysis ⇒I level of motion/acceleration/velocity at different mirrors,

interface pointsI wavefront error

Page 19: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Sensitivity analysis: example

transmission function from telescopepier motion to wavefront (tilt error)

101

102

10−4

10−3

10−2

10−1

100

101

Frequency [Hz]

Am

plit

ude [nm

/nm

]

Sensitivity response (WFE as a function of frequency and excitation amplitude)

I < 5Hz less sensitive: globalmotion of the structure andthe efficiency of the controlloops

I [5Hz 50Hz ]most sensitive: local modes+ high optical sensitivity,e.g. M2 unit

I > 50Hz less sensitive:overall inertia (structureand mechanical units)roll-off

Page 20: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Error budgeting

I Derive sensitivity responses for all mentioned sources

I Sensitivity is not uniform over all temporal frequency ranges⇒ requirement breakdown for different frequency

1. Allocate WFE to the main sources

2. Estimate the allowable force or produced motions at key interfacepoints

3. Express them in verifiable engineering quantities: e.gForce/acceleration rms in different frequency intervals

4. Based on experience/measurement data and engineering judgmentiterate and refine the initial allocations

Page 21: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Model uncertainty + Multiple inputs: what to do?

I exact frequency and shape of the mechanical modes in themodel are not necessarily identical to those of the final design(model uncertainty)

I cumbersome and none trivial/realistic trying to guess andderive the requirements for each possible source and directionindividually (multiple inputs)

⇒ Introduce conservatism

But how?

Page 22: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Model uncertainty + Multiple inputs: what to do?

I exact frequency and shape of the mechanical modes in themodel are not necessarily identical to those of the final design(model uncertainty)

I cumbersome and none trivial/realistic trying to guess andderive the requirements for each possible source and directionindividually (multiple inputs)

⇒ Introduce conservatism

But how?

Page 23: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Conservatism: How?

I G (jω): mechanical frequency response + optical sensitivity

I S(jω): wavefront control rejection frequency response

I ||WFE ||2: wavefront error rms

I ||X ||2: vibration (forces/motions) rms

||WFE ||2 ≤ ||G (jω)S(jω)||∞||X ||2, ∀ω ∈ [ωi , ωj ]

Largest direction (maximum singular value) and largest amplitudefor a given frequency interval

Page 24: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Conservatism: How?

I G (jω): mechanical frequency response + optical sensitivity

I S(jω): wavefront control rejection frequency response

I ||WFE ||2: wavefront error rms

I ||X ||2: vibration (forces/motions) rms

||WFE ||2 ≤ ||G (jω)S(jω)||∞||X ||2, ∀ω ∈ [ωi , ωj ]

Largest direction (maximum singular value) and largest amplitudefor a given frequency interval

Page 25: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Example: Vibration sources at Nasmyth platform

I excitations at interface of the instruments to Nasmyth inthree directions (x , y , z)

I input is defined as force in [N] for these three directions

100

101

102

10−4

10−3

10−2

10−1

100

101

Frequency [Hz]

Am

plit

ude [nm

/N]

Sensitivity response (WFE as a function of frequency and excitation amplitude)

norm2

Ins x

Ins y

Ins z

Page 26: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Example: Sensitivity analysisI Simulation (in time domain)I Inputs: uncorrelated, limited bandwidth white noiseI Amplitude Spectral Density: 0.5 N/

√Hz, [0-100] Hz

(equivalent to a force of 5[N] rms)I Frequency intervals: example 1/3-octave bands

100

101

102

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

[Hz]

[rm

s n

m]

1/3 Octave tilt sky (mirrors contribution)

Total

M1

M2

M3

M4

M5

100

101

102

0

0.5

1

1.5

2

2.5

3

3.5

[Hz]

[rm

s n

m]

1/3−Octave tilt sky (Ins direction)

Insx

Insy

Insz

Page 27: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Example: Sensitivity analysisI Simulation (in time domain)I Inputs: uncorrelated, limited bandwidth white noiseI Amplitude Spectral Density: 0.5 N/

√Hz, [0-100] Hz

(equivalent to a force of 5[N] rms)I Frequency intervals: example 1/3-octave bands

100

101

102

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

[Hz]

[rm

s n

m]

1/3 Octave tilt sky (mirrors contribution)

Total

M1

M2

M3

M4

M5

100

101

102

0

0.5

1

1.5

2

2.5

3

3.5

[Hz]

[rm

s n

m]

1/3−Octave tilt sky (Ins direction)

Insx

Insy

Insz

Page 28: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Specified requirements, budget verification

0 20 40 60 800

0.5

1

1.5

2

2.5

3

3.5

[Hz]

||F

||2 [N

]RSS source Force

0 20 40 60 800

2

4

6

8

10

[Hz]

W

FE

rm

s [nm

]

||F||2 * ||G.S||

0 20 40 60 800

2

4

6

8

10

[Hz]

||G

.S||

G Telescope and units and control

0 20 40 60 800

2

4

6

8

10

[Hz]

WF

E r

ms [nm

]

WFE sim = 7.3, WFE worst−case= 12.8

Simulated

Estimated worst−case

Page 29: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Conclusions

I A model-based vibration budgeting approach

I A sensitivity analysis at the heart of the budgeting effort⇒ Identify the most sensitive locations of vibration sourcesand frequency zones

I Requirements are expressed in terms of rms force/motion indifferent frequency intervals

I Reduce risk:⇒ Use largest possible amplification and direction in differentfrequency intervals

I Further investigations, measurement campaigns, developingverification methods, better understanding of the complexmechanism of generation and transmission of vibrations

Page 30: E-ELT vibration modeling, simulation, and budgetingConclusions I A model-based vibration budgeting approach I A sensitivity analysis at the heart of the budgeting e ort)Identify the

Conclusions

I A model-based vibration budgeting approach

I A sensitivity analysis at the heart of the budgeting effort⇒ Identify the most sensitive locations of vibration sourcesand frequency zones

I Requirements are expressed in terms of rms force/motion indifferent frequency intervals

I Reduce risk:⇒ Use largest possible amplification and direction in differentfrequency intervals

I Further investigations, measurement campaigns, developingverification methods, better understanding of the complexmechanism of generation and transmission of vibrations