IMPEDANCE and NETWORKS Transformers Networks A method...
Transcript of IMPEDANCE and NETWORKS Transformers Networks A method...
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IMPEDANCE and NETWORKS
➤ Transformers
➤ Networks
➤ A method of analysing complex networks
➤ Y-parameters and S-parameters
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Transformers
➤ Combining the effects of self and mutual inductance, the equations of atransformer are given by,
V21 = jωL1Ii + jωMIo
V43 = jωMIi + jωL2Io
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Simplified Transformer Circuit
➤ The following circuit is equivalent to the above.➤ Note the definition of voltage sense.
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Networks: Linearity
➤ Maxwell’s equations are linear
➤ Thus if we have an arbitrary circuit, then the E.M.F seen at any twoterminals must be a linear function of the current drawn.
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Networks: Thevenin and Norton Equivalents
➤ Every linear circuit can be simplified to the following trivial forms.
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Networks: Impedance and Admittance
➤ Impedance: V = ZI
➤ Impedance: Z = R + jX
➤ R = Resistance and X = Reactance
➤ Admittance: I = YV
➤ Admittance: Y = G + jB
➤ G = Conductance and B = Susceptance
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Networks: Analysis of Linear Circuits
➤ One of the main differences between radiofrequency compared to lowfrequency circuits is the effect of parasitics.
➤ Even the simplest transistor or oscillator models give rise to relativelycomplex circuits.
➤ We need a circuit solver.
➤ I now introduce a simple MATLAB program to solve all linear circuits.
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Networks: Analysis of Linear Circuits: SOLVE: The Circuit S olver
➤ SOLVE is a simple and short MATLAB solver for complex circuits
➤ Main advantage of SOLVE is that it is so simple that you can easily traceproblems.
➤ You can of course use PSPICE or any other program of your choice.
➤ I recommend that you get to know PSPICE (or some of the more complexcommercial products, ANSOFT, ADA, CADENCE) due to the built insupport for RF components and the detailed analysis of non-linearbehaviour that these packages can provide.
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Networks: Analysis of Linear Circuits
➤ We consider the following circuit driven by a 1 Ampere current source:
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Networks: Analysis of Linear Circuits
➤ Consider a typical node in the circuit.➤ The current I is injected into the node.➤ At the first node (on the current source)...
1 =N∑
j=1
yj1
(
V1 − Vj
)
=
N∑
j=1
yj1
V1 −N−1∑
j=1
yj1Vj
➤ where each voltage is referenced to ground. VN = 0 and yii = 0.
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Networks: Analysis of Linear Circuits
➤ At the ith node where i 6= 1, there is no current injected,
0 =N∑
j=1
yji
(
Vi − Vj
)
=
N∑
j=1
yji
Vi −N−1∑
j=1
yjiVj
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Networks: Analysis of Linear Circuits
➤ We therefore have an (N − 1) × (N − 1) matrix equation.
I = MV
where
Mii =N∑
k=1
yki
where the sum is such that k 6= i and,
Mij = −yji
for i 6= j and i = 1, ..., (N − 1).➤ Notice that only the diagonal terms Mii require knowledge of admittance to
ground, ykN .➤ Solve for V.
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Networks: SOLVE. Matlab Code
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Networks: Analysis of Linear Circuits: Some Simple Rules to Remember
➤ Node 1 is at the current source. The N th node is ground.
➤ VN = 0 and is not used.
➤ A “node” might actually be a junction of many joined wires.. so be carefulnot to leave wires out accidently.
➤ Vi represents the voltage from ground to the ith node.
➤ There is always only one admittance between each node. This means thatwe have to parallel up parallel admittances.
➤ By the way.. Parallel admittances add. Why?
➤ The current source injects 1 Ampere. Thus the input impedance isnumerically equal to the voltage on node 1.
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Networks: Analysis of Linear Circuits: Simple Example
➤ A series LC circuit...
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Networks: Analysis of Linear Circuits: Simple Example
106
107
−20
0
20
40
60
80
100
Rea
l(Z)
at n
ode
1
Sove output for ADMITTANCE_PROGRAM == LC.m
105
106
107
108
−400
−200
0
200
400
Imag
(Z)
at n
ode
1
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Networks: Analysis of Linear Circuits: More complex Exampl e
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Networks: Analysis of Linear Circuits: More complex Exampl e
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Networks: Analysis of Linear Circuits: More complex Exampl e
108
109
0
500
1000
1500
2000
Rea
l(Z)
at n
ode
2
Sove output for ADMITTANCE_PROGRAM == LC.m
107
108
109
1010
−2000
−1000
0
1000
Imag
(Z)
at n
ode
2
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Networks: Y-parameters
➤ Four port parameters describing a linear passive network
I1 = yiV1 + yrV2
I2 = yfV1 + yoV2
➤ where yi is the input admittance , yr the reverse-transfer admittance , yf
the forward-transfer admittance and yo the output admittance .
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Networks: S-parameters
➤ Four port parameters describing a linear passive network
b1 = S11a1 + S12a2
b2 = S21a1 + S22a2
➤ where S11 is the input reflection coefficient or return loss , S12 is thereverse transmission coefficient , S21 the forward transmissioncoefficient , and S22 is the output reflection coefficient .
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Networks: S-parameters
➤ a1 and b2 are forward waves and a2 and b1 are backward waves. Theymay be voltages or currents.
➤ S21 is also referred to as transfer function , insertion loss or gain .
➤ S11 = (b1/a1)|a2 = 0. To measure S11 let ZL = Z0 (the characteristicimpedance ) and measure the input reflection coefficient.
➤ S21 = (b2/a1)|a2 = 0. To measure S21 let ZL = Z0 and measure theratio of the transmitted to the incoming signal.
➤ S22 = (b2/a2)|a1 = 0. To measure S22 swap the source and ZL and letZL = Z0
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Networks: Y-parameters vs S-parameters
➤ Y-parameters and S-parameters are equivalent.
➤ Y-parameters are best for calculations.
➤ S-parameters are best for measurements. It is easy to measure power in aterminated network.
➤ S-parameters are usually the parameters given in component datasheets.
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Networks: Y-parameters vs S-parameters
➤ Y-parameters and S-parameters are related:
yi =(1 + S22)(1 − S11) + S12S21
∆Z0
yr =−2S12
∆Z0
yf =−2S21
∆Z0
yo =(1 + S11)(1 − S22) + S12S21
∆Z0
where ∆ = (1 + S11)(1 + S22) − S21S12.
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