ultra-clean ccd cryostats · transformer’sbehaviour was accurately modeled as a linear circuit in...

1
Wide-Band Spice Model of the High-Speed and High- Voltage Transformers for the CCD220 Jorge Romero 1 , Mark Downing 2 , Javier Reyes 2 1 University of Málaga 2 European Organization for Astronomical Research in the Southern Hemisphere Abstract This poster presents the model parameters extraction of a high‐speed transformer from real measured data which is a key component of the PID controller of the high‐voltage clock generation for the CCD220. The extracted model includes the effect of the magnetic coupling between the transformer windings, the conductor losses and the interwinding parasitic capacitances, along with the stray capacitances of the PCB footprint and metal tracks. The model has been implemented, tested and validated in an outstanding way. SDW 2013, 7-11 October, Florence, Italy Theoretical background The success of the fitted model depends not only on how accurately its represents the physical properties (e.g., resonances, transient response, etc.), but, also how fast it can be simulated or whether it is stable at all. The methodology employed takes into account these considerations. A suitable set of parameters easy to measure, or, a well established fitting method that captures the properties of interest of the transformer can decide the quality of the design in which it will be used. Introduction The characterization of the high-speed transformer in the high- voltage clock circuit inside ESO’s AO camera is crucial to understand the PID controller which stabilizes the high-voltage output that drives the amplification register of the CCD220. The extracted model presented here includes the effect of the magnetic coupling between the transformer windings, the conductor losses and the interwinding parasitic capacitances, along with the stray capacitances of the PCB footprints and metal tracks. The model has been implemented, tested and validated in an outstanding way. First, the raw wide-band and two-port network data was measured with a Vector Network Analyzer. Second, the parameter model was fitted through an easy-to-use and well established vector fitting technique. Lastly, the transformer’s behaviour was accurately modeled as a linear circuit in the Laplace Domain by a network of controlled current and voltage sources. Spice Modelling Considering the S-Matrix of a two-port network available and a analytic model expanded in parallel form constructed by using, for instance, the VF method, or any other suitable scheme, always it is possible to represent rational forms in terms of lumped elements such as Impedances and controlled sources (Stevens & Dhaene, 2008). Rearranging the expressions in eq.1: regarding a i , b i as normalized voltages and currents respectively, both expressions can be depicted in terms of circuit elements as follows (other configurations are possible, as well): Data Processing The data measured was processed with a free MatLab Toolbox developed by Gustavsen adapted especially for the transformer model calculations. The processing time is less than five seconds. The parasitic model was implemented by using a non- linear programming method in Matlab. Measurements, Simulations and Test Results Test Bench Setup The transformers used for high-voltage clocks of the CCD220 were two windings of copper wire wound on a pig-nose, wide- band balun ferrite core from Micrometals (www.micrometals.com ); 2.5 turns on the primary and 5 turns on the secondary. The measurements were made using a Rohde & Schwarz ZVRE 9KHz-4GHz Vector Network Analyzer. The cables employed were RG-214/U 50W with SMA male connectors. For the test, the transformer was soldered directly to the SMA connectors. The Scattering Parameters Theory of Scattering (or S’’) Parameters was developed in the early 60’s (K.Kurokawa, 1965). The development of new multi- port network measurement instruments that directly extract the S- Matrix makes the art of radio frequency measurements really affordable. The S-Parameter measurements have the interesting property that it is not necessary to perform neither shorts nor opens on the network during the measurement process (unlike other kind of representations, say Z or Y parameters). The physical meaning of S Parameters is similar to Z or Y: s 11 , s 22 represent how power is reflected in the system (input/output immittances or reflection coefficients), and s 21 , s 12 represent the forward/backward power-transference from/to source to/from load, respectively. In mathematical form: Where a i , b i represent the normalized incident/reflected wave into/from the i-th network port (i=1,2). These waves have the form: (eq.1) Where V i , I i represent respectively rms voltage and current flowing into the network, and Z o is the reference impedance (it can be any, real or complex). The symbol *denotes complex conjugate. The Vector-Fitting Method In general, an analytical model of a measured transfer function is often desirable. In our case, we require a model for simulation purposes. Vector Fitting (VF) is a relatively simple procedure that lets the designer implement and test the model in an simple way. The result can be easily described in terms of simulation languages (scripting) or as in our case, in the form of a circuit that can be interpreted by any Spice-like time-domain simulator with behavioral simulation capabilities. For more details contact: [email protected] Test-Bench with the ZVRE Network Analyzer and the cables-connector setup. The analyzer can measure all the parameters simultaneously as shown in the image. Fitted model and error. a) SMA connector and the HV-clock transformer. b) Setup for the PCB parasitic measurement. Simulations The simulator selected for model testing was SiMetrix, a fast time simulator with behavioral modeling capabilities (in Laplace domain). Like any Spice simulator, the schematic can be implemented by using the standard Spice lumped components. Experimental Results The oscilloscope shows that the HV-clock of the CC220 varies during the frame readout and variation is proportional to illumination level. This sensitivity to disturbances can be minimized with the proper tuning of the PID controller. Thanks to the accurate model of the transformer the value of the components in the PID have been optimized by simulation to respond quickest to disturbances. All the simulations have been confirmed by measurements and both agree extremely well. The excellent results speak by themselves. Generic Two-Port linear network showing standard references for waves a i , b i ; voltages V i , and currents I i , i=1,2. A transformer can be considered as a two port linear network in a first approximation. Z o V 1 a 1 2√Z o b 1 (CCVS) √Z o /2I 1 (CCVS) V 1 /(2√Z o ) (VCVS) a 2 s 12 (VCCS) a 1 s 11 (VCCS) b 1 I 1 Z o V 2 a 2 2√Z o b 2 (CCVS) √Z o /2I 2 (CCVS) V 2 /(2√Z o ) (VCVS) a 2 s 22 (VCCS) a 1 s 21 (VCCS) b 2 I 2 Vi_n H12 -4.31265392e9/(s+3.9507498e9)-1.09143570e8/(s+1.0735469e Hb2 14.142136 50 R1 HI2 3.5355339 EV2 70.710678m 2.37189911e9/(s+3.9507498e9)-2.11755009e8/(s+1.0735469e9)-1.65850558e8/ G_22 G21 1 G12 1 -3.35252967e9/(s+3.9507498e9)-5.94329189e8/(s+1.0735469e9)-3.64233892e7 G_11 EV1 70.710678m HI1 3.5355339 50 R2 Hb1 14.1421356 H21 -4.31265392e9/(s+3.9507498e9)-1.09143570e8/(s+1.0735469e Vo_p Vo_n Vi_p =OUT/IN IN OUT U2-Vo_p AC 1 0 Sine(0 1 12.5Meg 0 0) Vi U1-Vi_p U2 TXFM_HV_Clock_Ver2 Vi_p Vi_n Vo_p Vo_n C1 1.6n Vop Vip Cd 0.2pF Cu2 5.4pF Cd1 1.4pF Cu1 1.4pF Cd2 5.4pF Cu 0.2pF Vin Von 2 4 6 8 10 x 10 7 10 -5 10 -4 10 -3 10 -2 10 -1 10 0 10 1 Frequency [Hz] Magnitude [p.u.] Approximation of f Original FRVF Deviation TWO-PORT NETWORK [S] a 1 a 2 b 1 b 2 V 1 V 2 I 1 I 2 The starting point for modeling with the VF method is an analytical complex function, i.e., a rational function expanded in partial fractions with residuals (the so called parallel form): Where p k are the poles (real or complex conjugates), r k are the residuals (real or complex conjugates), s=s+jw is the Laplace complex variable and w, the angular frequency (w=2pf ). Vector Fitting (or pole fitting) aims to find all residuals r k and poles p k , plus two extra parameters d (a gain) and e (a pole at infinite) in the augmented model, in order to minimize the (in general, weighted) least-square error from the set of measured data sampled at s n =jw n (B. Gustavsen, 1999). This is an iterative, but linear method that fits this augmented equation to the given data. To improve the result, data post- processing is recommended to assure stability (pole- reallocation). To reduce the order of the fitted model only the band-width of interest should be used. In the case of a transformer or, in general, for any electrical network, a set of H(s) (for instance, one for each s kl of the transformer model) is achieved simultaneously. For the sake of simplification, all poles (but not residuals) are shared. This way the complexity of the VF method is highly reduced without noticeable loss of accuracy. Generic Two-Port linear network described in terms of lumped elements: controlled sources and impedances. VCCS: Voltage- controlled current source. VCVS: Voltage- controlled voltage source. CCVS: Current- controlled voltage source. (a) (b) Measured data Model of the transformer. Simulation Test-Bench. Model of the PCB parasitics. Frequency-response of the resonant circuit. Time-domain simulation around the resonance frequency. ESO Adaptive Optics high-speed camera based on the e2v L3 Vision CCD220. CCD Format 240x240, 8 ports Pixel size 24 x 24 μm 2 RON < 0.1e- Frame rate 1.5kfps Video ADCs 14-bit Unoptimized HV-clock step response Optimized HV-clock step response RTD cut on the unoptimized CCD RTD cut on the optimized CCD www.eso.org

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Page 1: ULTRA-CLEAN CCD CRYOSTATS · transformer’sbehaviour was accurately modeled as a linear circuit in the Laplace Domain by a network of controlled current and voltage sources. Spice

Wide-Band Spice Model of the High-Speed and High-

Voltage Transformers for the CCD220Jorge Romero1, Mark Downing 2 , Javier Reyes 2

1University of Málaga2European Organization for Astronomical Research in the Southern Hemisphere

Abstract This poster presents the model parameters extraction of a high‐speed transformer from real measured data which is a key component of the PIDcontroller of the high‐voltage clock generation for the CCD220. The extracted model includes the effect of the magnetic coupling between thetransformer windings, the conductor losses and the interwinding parasitic capacitances, along with the stray capacitances of the PCB footprintand metal tracks. The model has been implemented, tested and validated in an outstanding way.

SDW 2013, 7-11 October, Florence, Italy

Theoretical backgroundThe success of the fitted model depends not only on how

accurately its represents the physical properties (e.g.,

resonances, transient response, etc.), but, also how fast it can be

simulated or whether it is stable at all. The methodology

employed takes into account these considerations. A suitable set

of parameters easy to measure, or, a well established fitting

method that captures the properties of interest of the transformer

can decide the quality of the design in which it will be used.

IntroductionThe characterization of the high-speed transformer in the high-

voltage clock circuit inside ESO’s AO camera is crucial to

understand the PID controller which stabilizes the high-voltage

output that drives the amplification register of the CCD220. The

extracted model presented here includes the effect of the

magnetic coupling between the transformer windings, the

conductor losses and the interwinding parasitic capacitances,

along with the stray capacitances of the PCB footprints and metal

tracks. The model has been implemented, tested and validated

in an outstanding way. First, the raw wide-band and two-port

network data was measured with a Vector Network Analyzer.

Second, the parameter model was fitted through an easy-to-use

and well established vector fitting technique. Lastly, the

transformer’s behaviour was accurately modeled as a linear

circuit in the Laplace Domain by a network of controlled current

and voltage sources.

Spice ModellingConsidering the S-Matrix of a two-port network available and a

analytic model expanded in parallel form constructed by using,

for instance, the VF method, or any other suitable scheme,

always it is possible to represent rational forms in terms of

lumped elements such as Impedances and controlled sources

(Stevens & Dhaene, 2008). Rearranging the expressions in

eq.1:

regarding ai , bi as normalized voltages and currents

respectively, both expressions can be depicted in terms of

circuit elements as follows (other configurations are possible,

as well):

Data ProcessingThe data measured was processed with a free MatLab Toolbox

developed by Gustavsen adapted especially for the transformer

model calculations. The processing time is less than five

seconds. The parasitic model was implemented by using a non-

linear programming method in Matlab.

Measurements, Simulations and

Test Results

Test Bench SetupThe transformers used for high-voltage clocks of the CCD220

were two windings of copper wire wound on a pig-nose, wide-

band balun ferrite core from Micrometals (www.micrometals.com);

2.5 turns on the primary and 5 turns on the secondary. The

measurements were made using a Rohde & Schwarz ZVRE

9KHz-4GHz Vector Network Analyzer. The cables employed were

RG-214/U 50W with SMA male connectors. For the test, the

transformer was soldered directly to the SMA connectors.

The Scattering ParametersTheory of Scattering (or ‘S’’) Parameters was developed in the

early 60’s (K.Kurokawa, 1965). The development of new multi-

port network measurement instruments that directly extract the S-

Matrix makes the art of radio frequency measurements really

affordable. The S-Parameter measurements have the interesting

property that it is not necessary to perform neither shorts nor

opens on the network during the measurement process (unlike

other kind of representations, say Z or Y parameters).

The physical meaning of S Parameters is similar to Z or Y: s11, s22

represent how power is reflected in the system (input/output

immittances or reflection coefficients), and s21, s12 represent the

forward/backward power-transference from/to source to/from

load, respectively. In mathematical form:

Where ai, bi represent the normalized incident/reflected wave

into/from the i-th network port (i=1,2). These waves have the

form:

(eq.1)

Where Vi, Ii represent respectively rms voltage and current

flowing into the network, and Zo is the reference impedance (it

can be any, real or complex). The symbol ‘*’ denotes complex

conjugate.

The Vector-Fitting MethodIn general, an analytical model of a measured transfer function

is often desirable. In our case, we require a model for simulation

purposes. Vector Fitting (VF) is a relatively simple procedure

that lets the designer implement and test the model in an simple

way. The result can be easily described in terms of simulation

languages (scripting) or as in our case, in the form of a circuit

that can be interpreted by any Spice-like time-domain simulator

with behavioral simulation capabilities.

For more details contact: [email protected]

Test-Bench with the ZVRE Network Analyzer and

the cables-connector setup. The analyzer can

measure all the parameters simultaneously as

shown in the image.

Fitted model and error.

a) SMA connector and the

HV-clock transformer.

b) Setup for the PCB

parasitic measurement.

SimulationsThe simulator selected for model testing was SiMetrix, a fast time

simulator with behavioral modeling capabilities (in Laplace

domain). Like any Spice simulator, the schematic can be

implemented by using the standard Spice lumped components.

Experimental ResultsThe oscilloscope shows that the HV-clock of the CC220 varies

during the frame readout and variation is proportional to

illumination level. This sensitivity to disturbances can be

minimized with the proper tuning of the PID controller. Thanks to

the accurate model of the transformer the value of the

components in the PID have been optimized by simulation to

respond quickest to disturbances.

All the simulations have been confirmed by measurements and

both agree extremely well. The excellent results speak by

themselves.Generic Two-Port

linear network

showing standard

references for

waves ai, bi ;

voltages Vi , and

currents Ii , i=1,2.

A transformer can

be considered as

a two port linear

network in a first

approximation.

Zo

V1a12√Zob

1(CCVS)

√Zo/2I1(CCVS)

V1/(2√Zo)(VCVS)

a2s12(VCCS)

a1s11(VCCS)

b1

I1

Zo

V2a22√Zob2

(CCVS)

√Zo/2I2(CCVS)

V2/(2√Zo)(VCVS)

a2s22(VCCS)

a1s21(VCCS)

b2

I2

Vi_n

H12

-4.31265392e9/(s+3.9507498e9)-1.09143570e8/(s+1.0735469e9)+7.92278561e7/(s+1.0212672e8)-1.56746016e5/(s+1.6547306e7)-6.54319475e2/(s+8.5316223e4)+0.426917671Hb2 14.142136

50

R1

HI2 3.5355339

EV2 70.710678m

2.37189911e9/(s+3.9507498e9)-2.11755009e8/(s+1.0735469e9)-1.65850558e8/(s+1.0212672e8)-4.09919783e5/(s+1.6547306e7)+6.63947824e2/(s+8.5316223e4)+245.48159e-3

G_22 G21

1

G12

1

-3.35252967e9/(s+3.9507498e9)-5.94329189e8/(s+1.0735469e9)-3.64233892e7/(s+1.0212672e8)+1.56094954e5/(s+1.6547306e7)+1.19158183e2/(s+8.5316223e4)+7.5844235e-1

G_11

EV1 70.710678m

HI1 3.5355339

50

R2

Hb1 14.1421356

H21

-4.31265392e9/(s+3.9507498e9)-1.09143570e8/(s+1.0735469e9)+7.92278561e7/(s+1.0212672e8)-1.56746016e5/(s+1.6547306e7)-6.54319475e2/(s+8.5316223e4)+0.426917671

Vo_p

Vo_n

Vi_p

=OUT/IN

IN OUT

U2-Vo_p AC 1 0 Sine(0 1 12.5Meg 0 0)

Vi

U1-Vi_p

U2

TXFM_HV_Clock_Ver2

Vi_p

Vi_n

Vo_p

Vo_n

C1

1.6n

VopVip

Cd

0.2pF

Cu2

5.4pF

Cd1

1.4pF

Cu1

1.4pF

Cd2

5.4pF

Cu

0.2pF

Vin Von

2 4 6 8 10

x 107

10-5

10-4

10-3

10-2

10-1

100

101

Frequency [Hz]

Ma

gn

itu

de

[p.u

.]

Approximation of f

Original

FRVF

Deviation

TWO-PORT

NETWORK

[S]

a1 a2

b1b2

V1 V2I1 I2

The starting point for modeling with the VF method is an

analytical complex function, i.e., a rational function expanded

in partial fractions with residuals (the so called parallel form):

Where pk are the poles (real or complex conjugates), rk are the

residuals (real or complex conjugates), s=s+jw is the Laplace

complex variable and w, the angular frequency (w=2pf ).

Vector Fitting (or pole fitting) aims to find all residuals rk and

poles pk , plus two extra parameters d (a gain) and e (a pole at

infinite) in the augmented model,

in order to minimize the (in general, weighted) least-square

error from the set of measured data sampled at sn=jwn (B.Gustavsen, 1999).

This is an iterative, but linear method that fits this augmented

equation to the given data. To improve the result, data post-

processing is recommended to assure stability (pole-

reallocation). To reduce the order of the fitted model only the

band-width of interest should be used.

In the case of a transformer or, in general, for any electrical

network, a set of H(s) (for instance, one for each skl of the

transformer model) is achieved simultaneously. For the sake of

simplification, all poles (but not residuals) are shared. This way

the complexity of the VF method is highly reduced without

noticeable loss of accuracy.

Generic Two-Port

linear network

described in terms

of lumped

elements:

controlled sources

and impedances.

VCCS: Voltage-

controlled current

source.

VCVS: Voltage-

controlled voltage

source.

CCVS: Current-

controlled voltage

source.

(a)

(b)

Measured data

Model of

the

transformer.Simulation Test-Bench.

Model of the PCB parasitics.

Frequency-response of the resonant

circuit.Time-domain simulation around the

resonance frequency.

ESO Adaptive Optics

high-speed camera

based on the e2v L3

Vision CCD220.

CCD Format 240x240, 8 ports

Pixel size 24 x 24 µm2

RON < 0.1e-

Frame rate 1.5kfps

Video ADCs 14-bit

Unoptimized HV-clock step response Optimized HV-clock step response

RTD cut on the unoptimized CCD RTD cut on the optimized CCD

www.eso.org