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Flow Control: TD4-1

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Flow Control: TD4-1

Overview

- General issues, passive vs active…

- Control issues: optimality and learning vs robustness and rough model - Model-based control: linear model, nonlinear control

- Linear model, identification - Sliding Mode Control

- Delay effect

- Time-delay systems - Introduction to delay systems

- Examples

- Much a do about delay? Some special features + a bit of maths - Time-varying delay

- Model-based control: nonlinear model, nonlinear control - Overview of MF’s PhD: Sliding Mode Control - Application to the airfoil

- Application to the Ahmed body (MF and CC’PhDs)

- Machine Learning and model-free control: + 4h with Thomas Gomez

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Flow Control

https://tel.archives-ouvertes.fr/tel-01801155

Back to the results from Maxime’s PhD:

nonlinear delayed model with Sliding Mode Control

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1) Model: identification

1) Model: identification

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N ~ 105 to 3.106

1) Model: identification

Back to slide 36

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Fluid Mechanics literature (with similar FIT)  1000 to 10000 coefficients NB: for our robust controller, 4 coefs + 3 delays =

7 !

1) Model: identification

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y u y

^

output input

model (43+23 param.)

1) Model: identification

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2) Model for control

4 coefs + 3 delays = 7 parameters

2) Control: a simplified model

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2) Control: surface for the Sliding Mode Control

Does that sound familiar?

Yes, predictor effect (slide 63)

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2) Control: conditions for Sliding Mode

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2) Control: proof of robustness w.r.t. additive perturbation

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2) Control: summary

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December: still looking for platform’s availability…  Feb. 2017: actuated platform ready!

Jan. 2015: PhD starts

March 2016: control ok on simulations  October: journal paper submitted  y *

y

u

2) Control: check on simulation

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nominal

3) Experiments!

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lower speed

3) Experiments

https://www.youtube.com/watch?v=b5NnAV2qeno

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3) Experiments Non nominal:

lower flow speed

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air flow

flap wing

flap angle variations

AoA = 20°to 38°

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3) Experiments

(more)

! flow -

perturbations

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3) Experiments

(more)

- largest angle variations

AoA = 0°to 38°

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Flow Control: conclusions

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Flow Control: perspectives

Références

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