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Transcript of ANC Project
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8/7/2019 ANC Project
1/22
Active Noise Cancellation
Dr. FarrukhDr. FarrukhDepartment of Electrical & Electronics Engineering,Department of Electrical & Electronics Engineering,
College of Engineering,College of Engineering,
University Tenaga Nasional,University Tenaga Nasional,
Jalan KajangJalan Kajang--Puchong,Puchong,
43009 Kajang,43009 Kajang,
Selangor, MALAYSIA.Selangor, [email protected]
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8/7/2019 ANC Project
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Description of paper Use of TMS320C5402 DSK-single
TMS320C6701 EVM dual channel channelActive Noise Cancellation in duct system
Uses feedback + feedforward topology -designed to cancel narrowband periodic
tones.
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8/7/2019 ANC Project
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Problem Description!!!!
Unwanted sound thatis often loud and irritating
Industrial equipment
Damaging to human from both
a physical and psychological aspect
Active Noise Cancellation???Reason
What is Noise ?????
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How does Active Noise Cancellation(ANC) works ?
Basic principles by introducing a canceling anti-noisesignal that has the same amplitude but the exactopposite phase and resulting a reduction noise signal
Identical and in phaseVolumes increases
Out of phaseVolumes decreases
Active noise cancellation
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Approaches of ANC
Feedforward Topology Reference noise andcancelled noise are used
2 inputs and 1 output
Feedback Topology only cancelled noiseare used one input and one outpu
Use of TMS320C5402 DSK-singlechannel Active Noise Cancellation
in duct system
Hardware
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Feedback TopologyHardware
W(z)
S^(z)
L MS
EstimateSecondaryPath,S^(z)
SecondaryPath,S(z)
x(n)
x^(n)
y(n)
e(n)
Duct system
to estimate primarynoise and use it as areference
DSP System
X(z)= E(z) + S(z)Y(z)
Need to estimate thesecondary path transferfunction
y(n)
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Feedback Experimental SetupFeedback Experimental Setup--ANCANC
DSP TMS320C5402 DSK
Amplifier
Noise loudspeaker
Input noiseCanceling loudspeaker
Canceling zone
Amplifier
microphone
Secondary Path
Hardware
LMS Algorithm
INOUT
e(n)
y(n)
S(z)x(n)
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Feedforward Topology
Estimationof S(z),
(z)LMS
SecondaryPath,S(z)
x(n)
x^(n)
y(n)
e(n)
Duct system
Coherent input iscaptured, filteredand feed into LMS
DSP System
Estimation of thesecondary pathtransfer function isobtained byidentification
processe(n)
Primaryfunction, P(z)
y(n)
d(n)
W(z)
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Feedforward ExperimentalFeedforward ExperimentalSetupSetup
Noise speaker
Input noiseCanceling speaker
Canceling zone
Amplifier
microphone
Secondary Path
Hardware
TMS320C6701 EVM DSP
e(n)
y(n)
S(z)x(n)
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Least Mean Square (LMS) Algorithm
Software
)()()( iyidie!
!
!1
0
)()(N
k
kkixbiy
The outputThe output
The errorThe error
Update the weightsUpdate the weights
)()(2)()1( kixiebb ikik ! F
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Secondary path S(z) duct modeling
Canceling loudspeaker
Amplifier
microphone
S(z)
LMSAlgorithm
Result of identification ofthe secondary path
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Single channel cancellation results
InputF
requency =120Hz
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Without cancellation
With cancellation
Input Frequency = 70 + 80 Hz
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Cancellation result on
70+80+100+110+120+130Hz
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Dual Channel cancellation Results
InputF
requency =80Hz
No cancellationWith cancellation
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Input Frequency = 40+70Hz
no cancellation
cancellation
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Cancellation result on
40 + 70 + 80Hz
no cancellationcancellation
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Conclusions ANC was first time attempted in Malaysia and
obtained compatible results.
Integrated programming of DSP was achieved
without any external aid or training. This work yields Masters thesis and research
papers accepted by local and international
conferences. The expertise developed is now being shared
with other groups, projects and laboratory workin COE.
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8/7/2019 ANC Project
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Future Scope
Acoustic wave propagation in ductboundary is investigated with PDE FiniteElement method will be the future direction
Boundary value conditions at the exhaustof duct can be studied with FEM
Build dedicated DSP hardware for
embedded standalone ANC systemPCB for audio amplifiers and speakers are
needed for mobility of test rig
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FINITEELEMENTMETHOD
ANALY
SI
S OF
DUCT
SY
STEM
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ACCOUSTIC ENERGYINSIDETHE
DUCT
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The endThe end