use averaged switch modeling technique: apply averaged pwm model, with d replaced by µ
DESCRIPTION
AC modeling of quasi-resonant converters Extension of State-Space Averaging to model non-PWM switches. Use averaged switch modeling technique: apply averaged PWM model, with d replaced by µ Buck example with full-wave ZCS quasi-resonant cell:. µ = F. - PowerPoint PPT PresentationTRANSCRIPT
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AC modeling of quasi-resonant convertersExtension of State-Space Averaging to model non-PWM switches
Use averaged switch modeling technique: apply averaged PWM model, with d replaced by µ
Buck example with full-wave ZCS quasi-resonant cell:
+–
L
C R
+
v(t)
–
vg(t)
i(t)+
v2(t)
–
i1(t) i2(t)+
v1(t)
–
Lr
Cr
Full-wave ZCS quasi-resonant switch cell
+
v1r(t)
–
i2r(t)D1
D2
Q1
Frequencymodulator
Gatedriver
vc(t)
µ = F
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Equilibrium (dc) state-space averaged model
Provided that the natural frequencies of the converter, as well as the frequencies of variations of the converter inputs, are much slower than the switching frequency, then the state-space averaged model that describes the converter in equilibrium is
where the averaged matrices are
and the equilibrium dc components are
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Small-signal ac state-space averaged model
where
So if we can write the converter state equations during subintervals 1 and 2, then we can always find the averaged dc and small-signal ac models
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Relevant background
State-Space Averaging: see textbook section 7.3Averaged Switch Modeling and Circuit Averaging: see textbook
section 7.4
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Circuit averaging and averaged switch modeling
• Separate switch elements from remainder of converter
• Choose the independent input signals xT to the switch network
• The switch network generates dependent output signals xs
• Average switch waveforms
• Solve for how <xs> depends on <xT>
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Basic switch networks and their PWM CCM large-signal, nonlinear, averaged switch models
for non-isolated converters
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Basic switch networks and their PWM CCM dc + small-signal averaged switch models
for non-isolated converters
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Averaged Switch Modeling
• Separate switch elements from remainder of converter
• Remainder of converter consists of linear circuit
• The converter applies signals xT to the switch network
• The switch network generates output signals xs
• We have solved for how <xs> depends on <xT>
• Replace switch network with its averaged switch model
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Block diagram of converter
Switch network as a two-port circuit:
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The linear time-invariant network
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The circuit averaging step
To model the low-frequency components of the converter waveforms, average the switch output waveforms (in xs(t)) over one switching period.
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Relating the result to previously-derived PWM converter models
We can do this if we can express the average xs(t) in the form
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PWM switch: finding Xs1 and Xs2
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Finding µ: ZCS example
where, from previous slide,
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Derivation of the averaged system equationsof the resonant switch converter
Equations of the linear network(previous Eq. 1):
Substitute the averaged switch network equation:
Result:
Next: try to manipulate into sameform as PWM state-space averaged result
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Conventional state-space equations: PWM converter with switches in position 1
In the derivation of state-space averaging for subinterval 1:the converter equations can be written as a set of lineardifferential equations in the following standard form (Eq. 7.90):
But our Eq. 1 predicts that the circuit equations for this interval are:
These equations must be equal:
Solve for the relevant terms:
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Conventional state-space equations: PWM converter with switches in position 2
Same arguments yield the following result:
and
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Manipulation to standard state-space form
Eliminate Xs1 and Xs2 from previous equations.Result is:
Collect terms, and use the identity µ + µ’ = 1:
—same as PWM result, but with d µ
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Perturbation and Linearization
The switch conversion ratio µ is generally a fairlycomplex function. Must use multivariable Taylor series,evaluating slopes at the operating point:
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Small signal model
Substitute and eliminate nonlinear terms, to obtain:
Same form of equations as PWM small signal model. Hence same model applies, including the canonical model of Section 7.5.
The dependence of µ on converter signals constitutes built-in feedback.
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Salient features of small-signal transfer functions, for basic converters
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Parameters for various resonant switch networks
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Example 1: full-wave ZCSSmall-signal ac model
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Low-frequency model
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Example 2: Half-wave ZCS quasi-resonant buck
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Small-signal modeling
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Equivalent circuit model
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Low frequency model: set tank elements to zero
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Predicted small-signal transfer functionsHalf-wave ZCS buck