This presentation shows the results of the investigation the optimal placement of piezoelectric actuator and sensor by using H2 and Hinf norm method. The system in loop (SiL) were performed by linking Matlab and Abaqus CAE 6.13. using Python and Fortran. Then the dynamic steady state response and natural frequency of an active acoustic noise circular cylindrical panel are modeled and analyzed by using commercial finite element software (ABAQUS). For more detail can refer to "Active Acoustic Noise Control of a Circular Cylindrical Panel Using Finite Element Approach." Available from: https://www.researchgate.net/publication/314350136_Active_Acoustic_Noise_Control_of_a_Circular_Cylindrical_Panel_Using_Finite_Element_Approach

1. Active Acoustic Noise Control of a Circular
Cylindrical Panel Using Finite Element Approach
Teuku Arriessa Sukhairi
RUHR Universität Bochum
Faculty of Civil and Environmental Engineering
December 11, 2016

2. Overview
• Problem definition and objectives
• Basic of finite element method
• Basic of piezoelectric materials
• Methodology
Introduction
• Geometry and material properties
Geometry and
model definition
• Mesh convergence analysis
• Optimization of piezoelectric actuator and sensor
• Optimal control design
• Summary
Results and
discussion

3. Problem Definition and Objectives
 There are two objectives:
1. To find the best location of the piezoelectric actuator and sensor
configuration.
2. To reduce the noise and control the system of a cylindrical panel with and
without acoustic medium by using PID controller.
MRI Machine Aircraft
 Sub-Problem A:
1. Mesh convergence of the system.
2. Piezoelectric actuator and sensor for the optimal placement
 Sub-Problem B:
1. Vibroacoustic Analysis

4. Finite Element Method (FEM)

5. Piezoelectric Material
Direct Effect Inverse Effect
Mechanical Force --> Electric Charge Electric Field--> Displacement
1

6. Methodology
Sub-Problem A Sub-Problem B
MATLAB
m-file
function
Abaqus
CAE
History
output.txt file
.PY file
Abaqus
CAE
UAMP
Fotran
subroutine
Creating
Model
Scripting by
Python
Mesh
convergence
analysis
Optimal
location
analysis
Vibroacoustic
analysis

7. Geometry and Material Properties
(Host)
Panel After PartitionPanel Before Partition
Panel Properties

8. Geometry and Material Properties
(Piezoelectric)
SensorActuator

9. Geometry and Material Properties
(Membrane)
3

10. Geometry and Material Properties
(Acoustic Medium)
Lower PartUpper Part

11. Mesh Convergence Analysis
The mesh configuration of cylindrical panel
Model A.G.S Host A.G.S
Actuator
A.G.S Sensor Thickness
Host
Thickness
Actuator
Thickness
Sensor
Model H 0.01 0.01 0.01 7 10 10
Model E 0.04
( = 6, z = 10)
 = 3, z = 5  = 12, z = 20 4 3 3

12. Mesh Convergence based on Electric
Potential and Displacement
Time step and force

13. The Actuator and Sensor Placement
Indices

14. The Actuator and Sensor Placement
Indices

15. Optimal Control Design
Uncontrolled and controlled response
of panel without acoustic medium
Uncontrolled and controlled response
of panel with acoustic medium

16. Optimal Control Design
Pressure on acoustic medium 1, acoustic medium 2 and displacement on
membrane surface

17. Wave Propagation Uncontrolled vs
Controlled

18. Summary
 To obtain accurate results, a refined mesh in trade-
off with the computational effort is essential.
 13 is the optimal location for actuator and sensor
position.
 The structural vibration of without acoustic medium
can be effectively suppressed. However, for a
model with acoustic medium, the vibration was
slightly reduced.

19. References
1. Nader Jalili (2009)
Piezoelectric-based vibration control: from macro to micro/nano scale systems.
Springer Science & Business Media, 2009.
2. Nestorovic, Tamara (2004)
Adaptronics lecture notes, 2004.
3. Zhang, Yuelin and Hiruta, Toshiki and Kajiwara, Itsuro and Hosoya, Naoki (2015)
Active vibration suppression of membrane structures and evaluation with a non-
contact laser excitation vibration test
Journal of Vibration and Control.

20. Thank you for your attention