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Thesis - Leigh Moody.pdf - Bad Request - Cranfield University

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Chapter 3 / Sensors<br />

_ _<br />

Expressing the ADC errors and anti-aliasing (A/A) filter in functional form,<br />

ϕ<br />

ADC<br />

ϕ<br />

1<br />

ADC<br />

3.2-23<br />

( t )<br />

AD AD<br />

AD AD AD AD<br />

( ϕ ( x ( t ) , N , ω ) , f , N , N , X , X )<br />

AA<br />

SN<br />

AA<br />

SN<br />

y<br />

AA<br />

SN<br />

: =<br />

AD AD<br />

( ( t ) ) ≡ ϕ ϕ ϕ x ( t )<br />

LIM<br />

O<br />

SN<br />

B<br />

SN<br />

NB<br />

SN<br />

LL<br />

SN<br />

UL<br />

Equation 3.2-28<br />

AD<br />

( ( ( , f ) ) + )<br />

x ϕ<br />

ZOH<br />

BWF<br />

SN_B_23<br />

SN_AQ<br />

SN_B_25<br />

Q<br />

ZOH<br />

QUANTISED<br />

NOISE<br />

SN_B_26<br />

SN<br />

O<br />

QN<br />

Equation 3.2-29<br />

RANGE<br />

[SN_AL,SN_AU]<br />

SN_B_24<br />

Figure 3-13 : Analogue to Digital Conversion Errors<br />

A Butterworth A/A filter attenuates high frequency noise preventing it from<br />

folding back into the sensor bandwidth about the Nyquist frequency. The<br />

ADC here operates at the same frequency as the sensor output interface (fO).<br />

To reduce the time delays, or produce a signal for further digital filtering,<br />

the ADC can be over-sampled at a frequency greater than that of the output<br />

interface - not modelled. In the frequency domain a ZOH is represented by,<br />

( s ) : = ( 1 − exp ( − s f ) ) ⋅ x ( s )<br />

s ⋅ y<br />

SN O<br />

Equation 3.2-30<br />

For linear systems analysis the exponential function is replaced here by 1 st<br />

and 2 nd order Pade approximations,<br />

y<br />

⎛ 2 ⋅ f ⎞<br />

⎜ 2 SNf<br />

O s ⎟<br />

⎝ ⋅ + ⎠<br />

SN O<br />

( s ) : = ⎜<br />

⎟ ⋅ x ( s )<br />

⎛<br />

12 ⋅<br />

SN O<br />

( s ) : = ⎜<br />

⎟ ⋅ x ( s )<br />

y<br />

⎜<br />

2<br />

2<br />

12 ⋅ SNf<br />

O + 6 ⋅ SNf<br />

O ⋅ s + s<br />

⎝<br />

f<br />

⎞<br />

⎟<br />

⎠<br />

Equation 3.2-31<br />

Equation 3.2-32<br />

1

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