predicting total harmonic distortion (thd) in adsl ... · adsl transformer design issues the adsl...
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Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
1
Predicting Total Harmonic Distortion (THD)Predicting Total Harmonic Distortion (THD)in ADSL Transformers using in ADSL Transformers using BehaviouralBehavioural ModelingModeling
Peter R. Wilson, J. Neil Ross & Andrew D. BrownPeter R. Wilson, J. Neil Ross & Andrew D. BrownSchool of Electronics and Computer ScienceSchool of Electronics and Computer Science
University of Southampton, University of Southampton, UKUK
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
2
OutlineOutlineIntroductionIntroduction
• ADSL• Where is the need for the transformer?• What are the design Issues?
ModelingModeling and Simulationand Simulation• Basic Transformer modeling• Non-linear modeling• System modeling
Hardware modificationsHardware modifications• Planar transformers
ConclusionsConclusions
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
3
ADSL: IntroductionADSL: IntroductionAAsymmetric symmetric DDigital igital SSubscriber ubscriber LLine ine
• The technology is used as a high-speed modem link with asymmetric up- and down-stream data rates
• The technology is important because it uses the existing standard POTS network infrastructure
• The mechanism only requires an ADSL modem at the local telephone exchange (CO) and a similar modem at the customer site (CP)
ATU-CDigitalBroadcastBroadbandNetwork
NarrowbandNetworkNetwork
Management
ATU-C
ATU-C
ATU-C
ATU-C
PSIN Phones
ATU-RTETETETE
Central Office Customer Premises
Loop
Splitter
ADSL Termination Unit –Central (ATU-C)
ADSL Termination Unit-Remote (ATU-R)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
4
ADSL Modulation SchemeADSL Modulation SchemeADSL is based on a broadband modulation scheme ADSL is based on a broadband modulation scheme
• multiple carriers placed at 4.3125kHz intervals• With 256 carriers a 1.1MHz bandwidth is required• These sub-carriers may also be referred to as sub-channels.
ADSL coADSL co--exists with POTSexists with POTS
POTS
Ups
tream Downstream
frequency
4kHz 25kHz 160kHz 240kHz ~1.1MHz
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
5
ADSL ADSL AnalogAnalog InterfaceInterfaceThe signals are transmitted using a form of QAM, eitherThe signals are transmitted using a form of QAM, either
• Carrier-less Amplitude/Phase Modulation (CAP)• Quadrature Amplitude Modulation (QAM)
The modulators and demodulators are interfaced to the line The modulators and demodulators are interfaced to the line with:with:
• Channel splitting filters• Impedance-matching wide-band transformers
HighPassFilter
ADSLChipset
WidebandTransformer
HighPassFilter
LowPassFilter
ADSLChipset
WidebandTransformer
LowPassFilter
ISP
PSTN
PC
Phone
Central Office Modem Home Modem
TwistedPair
<6 Mbps
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
6
ADSL transformer design issuesADSL transformer design issuesThe ADSL transformers have several basic requirements:The ADSL transformers have several basic requirements:
1.1. Wide BandwidthWide Bandwidth1. This implies low loss, low leakage and low capacitance
2.2. Low Insertion LossLow Insertion Loss1. This implies low resistance and loss
3.3. Low DistortionLow Distortion1. This implies good linearity
4.4. Compact SizeCompact Size1. There is a design trade-off between distortion and size
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
7
ModelingModeling Insertion LossInsertion LossWe can use a simple linear model, with accurate We can use a simple linear model, with accurate parasiticsparasitics to to predict the insertion loss over a wide frequency rangepredict the insertion loss over a wide frequency rangeThis is well understood and works reasonably wellThis is well understood and works reasonably well
LLp
10uH
Rp
0.5
Cp50p
Ciw
50p
TX1Rs
0.5
LLs
10uH
Cs50p
-50
-40
-30
-20
-10
0
10
1000 10000 100000 1000000 10000000
Frequency (Hz)
Inse
rtio
n Lo
ss (d
B)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
8
Predicting DistortionPredicting DistortionDistortion is a result of nonDistortion is a result of non--linearitieslinearities in the transformerin the transformerThe source of the nonThe source of the non--linearitieslinearities is mainly from the ferrite is mainly from the ferrite core of the transformercore of the transformerDistortion is quantified for ADSL system designers using the Distortion is quantified for ADSL system designers using the Total Harmonic Distortion Measure (THD), which is closely Total Harmonic Distortion Measure (THD), which is closely related to the Signal to Noise Ratio (1/THD)related to the Signal to Noise Ratio (1/THD)THD in this context is usually calculated using:THD in this context is usually calculated using:
1
5
2V
V
THD ii∑
==
Where:Vi is the harmonic (i)V1 is the fundamental
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
9
Ferrite Material Ferrite Material HysteresisHysteresisFerrite materials exhibit some form Ferrite materials exhibit some form of of hysteresishysteresis
• The trouble with signal transformers is that a convenient major loop cannot be assumed
• The loops may be:• Assymetric• Minor
• Modeling these effects is actually very difficult to accomplish accurately, as the standard models assume a major loop
B
H
Major Loop
InitialMagnetization
AsymmetricMinorLoop Symmetric
MinorLoop
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
10
Different Loop Types Different Loop Types –– Small Minor LoopSmall Minor LoopLinearLinearNo LossesNo LossesMinimal DistortionMinimal Distortion
-0.01
-0.008
-0.006
-0.004
-0.002
0
0.002
0.004
0.006
0.008
0.01
-1.5 -1 -0.5 0 0.5 1 1.5
H (A/m)
B (T
)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
11
Different Loop Types Different Loop Types –– Medium LoopMedium LoopSmall Small HysteresisHysteresisLow LossesLow LossesMinimal DistortionMinimal Distortion
-0.1
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.08
0.1
-15 -10 -5 0 5 10 15
H (A/m)
B (T
)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
12
Different Loop Types Different Loop Types –– Major Loop #1Major Loop #1Significant Significant HysteresisHysteresisSignificant lossesSignificant lossesLarge DistortionLarge Distortion
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
-60 -40 -20 0 20 40 60
H (A/m)
B (T
)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
13
Different Loop Types Different Loop Types –– Major Loop #2Major Loop #2Significant Significant HysteresisHysteresis
• Slightly reducedSignificant lossesSignificant losses
• Relatively smallerLarge DistortionLarge DistortionEarly ClosureEarly Closure
-0.40
-0.30
-0.20
-0.10
0.00
0.10
0.20
0.30
0.40
-60.00 -40.00 -20.00 0.00 20.00 40.00 60.00
H (At/m)
B (T)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
14
MixedMixed--Domain ModelDomain ModelThe approach used in this paper was to use a mixedThe approach used in this paper was to use a mixed--domain domain model of the transformer, with a modified Jilesmodel of the transformer, with a modified Jiles--Atherton core Atherton core modelmodel
• Single Lumped Model
R1
50
U1
MMF
winding
R4
U6
classicja
U2
MMF
winding
V1R2100
vs vp vout
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
15
Handling Minor LoopsHandling Minor LoopsThere are three approaches to dealing with minor loopsThere are three approaches to dealing with minor loops
1.1. Characterise the model over a wide range of operationCharacterise the model over a wide range of operation1. This is OK, but means accuracy is compromised for each specific
case, in favour of a generally accurate model2.2. Characterise for only minor loopsCharacterise for only minor loops
1. This works well, but is very specific3.3. Modify the model to change behaviour for minor loopsModify the model to change behaviour for minor loops
1. In theory this sounds good, but the existing models do not implement this capability. Plus, the models need a-priori knowledge of turning points, which leads to innacuraccies.
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
16
Characterisation SoftwareCharacterisation SoftwareTo handle multiple loop optimisation, software has been To handle multiple loop optimisation, software has been developed to take measured BH curve data and extract developed to take measured BH curve data and extract parameters that best fit all the curves imported from different parameters that best fit all the curves imported from different signal levelssignal levels
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
17
Characterised WaveformsCharacterised WaveformsThree Measured LoopsThree Measured Loops
• Major• Medium• Minor
Optimiser SettingsOptimiser Settings• 3 loop fit• Equal weighting• Genetic algorithm
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
-150 -100 -50 0 50 100 150
H(A/m)
B(T
)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
18
Modifications to the JilesModifications to the Jiles--Atherton ModelAtherton ModelModifications were also made to the original JilesModifications were also made to the original Jiles--Atherton Atherton magnetic model to improve the minor loop magnetic model to improve the minor loop modelingmodeling, , basically modifying the behaviour depending on the recent basically modifying the behaviour depending on the recent turning pointsturning points
• Worked well statically• Less effective dynamically• Poor with arbitrary waveforms• Relies on turning points
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
-40 -20 0 20 40
H (A/m)
B (T
)
Modified JA Model Measured Original JA Model
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
19
Predicting the THD of ADSL transformersPredicting the THD of ADSL transformersIn practice, there was no need to have overly sophisticated In practice, there was no need to have overly sophisticated models to predict the performance of the transformer as an models to predict the performance of the transformer as an individual component, as the standard tests were undertaken individual component, as the standard tests were undertaken at single frequencies at a time.at single frequencies at a time.Models were created for standard core types and materials, Models were created for standard core types and materials, simulated and the resulting THD compared with measured simulated and the resulting THD compared with measured results using the same componentsresults using the same components
• Toroid TN10/6/4-3E5• Low Profile E11R-3E6• Integrated Inductive Component IIC• Custom planar Devices E18/E14• EP Cores (standard wire-wound) EP13
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
20
ToroidToroid TN10/6/4TN10/6/4--3E53E5
-70
-60
-50
-40
-30
-20
-10
0
0 2 4 6 8 10 12
Peak Voltage (V)
TH
D (d
B)
Measured Simulated
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
21
ER11ER11--3E63E6
-50
-40
-30
-20
-10
0
0 2 4 6 8 10 12
Peak Voltage (V)
THD
(dB
)
Measured THD Simulated THD
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
22
Packaging OptionsPackaging OptionsAs well as wire wound, integrated inductive components As well as wire wound, integrated inductive components (planar devices) were tested and compared with standard (planar devices) were tested and compared with standard wire wound (EP13) cores:wire wound (EP13) cores:
Package
Ferrite
Pins
[a] side view
[b] plan view [c] 5:5T PCB Layout
InternalTracks
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
23
EP13 and IIC ComparisonEP13 and IIC ComparisonThe generic planar device is much worse than the EP13 core, The generic planar device is much worse than the EP13 core, and this is predicted by the simulationand this is predicted by the simulation
-70
-60
-50
-40
-30
-20
-10
0
0 2 4 6 8 10 12
Input Voltage (V)
TH
D (d
B)
IIC EP13
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
24
Conclusions thus farConclusions thus farSmaller ER and Smaller ER and toroidtoroid cores are not good enoughcores are not good enough
• Basically too small – saturate early• Not enough inductance• Not enough air gap relative to core size
Integrated Inductive Components not good enoughIntegrated Inductive Components not good enough• Too few turns• No gap
What about custom planar devices?What about custom planar devices?• More turns• Custom gap• Low profile = better density of ADSL modem in exchange
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
25
Custom Planar TransformersCustom Planar TransformersUsing a customised planar device, with a large enough core Using a customised planar device, with a large enough core (predicted by the simulation) to ensure low distortion, the (predicted by the simulation) to ensure low distortion, the tests were repeated using an E18 coretests were repeated using an E18 core
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
26
E18 Custom Planar DeviceE18 Custom Planar DeviceThe resulting THD figures were comparable with the standard The resulting THD figures were comparable with the standard EP13 EP13 wirewoundwirewound devicedevice
-70
-60
-50
-40
-30
-20
-10
0
0 2 4 6 8 10 12
Input Voltage (V)
TH
D (d
B)
APC4199 E18 (no gap) E18 (Gapped)
Peter R. Wilson
Electronic Systems Design Group
University of Southampton, UKSchool of Electronics and Computer ScienceDr Peter R. Wilson – BMAS 2003
27
ConclusionsConclusionsBehavioural Behavioural modelingmodeling has been used in a range of ADSL has been used in a range of ADSL transformers to predict:transformers to predict:
• Insertion Loss• Bandwidth• Distortion
Simulation has been used effectively to guide the design of Simulation has been used effectively to guide the design of the proposed transformers to meet the requirements of the the proposed transformers to meet the requirements of the ADSL design contextADSL design contextNew planar devices have been implemented that will greatly New planar devices have been implemented that will greatly improve improve produceabilityproduceability and packing densities in exchanges.and packing densities in exchanges.