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Control of Thermoacoustic Instabilities: Actuator-Sensor Placement

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Control of Thermoacoustic Instabilities: Actuator-Sensor Placement Pushkarini Agharkar, Priya Subramanian, Prof. R. I. Sujith Department of Aerospace Engineering – PowerPoint PPT presentation

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Title: Control of Thermoacoustic Instabilities: Actuator-Sensor Placement


1
Control of Thermoacoustic InstabilitiesActuator
-Sensor Placement
  • Pushkarini Agharkar, Priya Subramanian, Prof. R.
    I. Sujith
  • Department of Aerospace Engineering
  • Prof. Niket Kaisare
  • Department of Chemical Engineering
  • Indian Institute of Technology, Madras
  • Acknowledgements
  • Boeing Travel Grant, IIT Madras
  • Alumni Affairs Association, IIT Madras

2
Thermoacoustic Instabilities
  • Occur due to positive feedback mechanism between
    combustion and acoustic subsystems
  • Representative system
  • ducted premixed flame

Schuller (2003)
3
Model of the ducted premixed flame
  • Control Framework
  • LQ Regulator
  • Kalman filter
  • Actuator Placement
  • LMI based techniques
  • based on Hankel singular values

Conclusions
4
Model of the ducted premixed flame
  • acoustic subsystem
  • combustion subsystem
  • single actuator and sensor pair
  • actuator adds energy to the system
  • sensor measures acoustic pressure

5
Combustion Subsystem
  • Governing equation (linear)

6
Acoustic Subsystem
  • Governing equations

fluctuating heat release
contribution from controller
7
Properties of the Model
  • Non-normality due to coupling between combustion
    and acoustic subsystems
  • Nonlinearity due to the equations of evolution
    of the flame front
  • Motivation Reducing the transient growth and
    avoiding triggering

8
State-Space Representation
9
Linear Quadratic (LQ) Regulator
such that the cost functional
is minimized.
10
Linear Quadratic (LQ) Regulator
Open loop plant (without control)
Closed loop plant (with control)
11
LMI optimization problem
- Linear Matrix Inequalities (LMI) inequalities
defined for matrix variables
12
Actuator Placement using LMI based Optimization
Techniques
13
ControllabilityObservability Measures
  • Other ways to determine optimal placement of
    actuators and sensors
  • Controllability-Observability measure based on
    Hankel singular values (HSVs).
  • measure
  • Hankel singular value

14
ControllabilityObservability Measures
  • Measure of controllability-observability based on
    HSVs calculated for various actuator and sensor
    locations
  • Locations of the antinodes of the third acoustic
    pressure mode give highest measure
  • From numerical simulations, the third acoustic
    mode is also the highest energy state

15
Locations closer to the flame
Antinodes of the least stable modes
LMI based techniques
Measures based on HSVs.
  • The techniques give contradictory results

16
Actuator Placement Numerical Validation
In the presence of transient growth, actuators
placed according to LMI techniques give better
performance than when placed based on HSV measures
17
Actuator Placement Numerical Validation
0.5
0.833
0.3
In the absence of transient growth, actuators
placed according to HSV measures give better
performance than in the presence of transient
growth, but still not better than LMI techniques.
18
Conclusions
  • Actuator-Sensor placement of non-normal systems
    requires different approaches than the ones used
    conventionally.
  • For the ducted premixed flame model, actuators
    placed nearer to the flame give better overall
    performance.
  • Controllers based on these actuators results in
    low transient growth as well as less settling
    time.
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